標(biāo)題: Titlebook: Artificial Intelligence on Medical Data; Proceedings of Inter Mousumi Gupta,Sujata Ghatak,Abir Lal Mukherjee Conference proceedings 2023 Th [打印本頁] 作者: GUST 時間: 2025-3-21 18:09
書目名稱Artificial Intelligence on Medical Data影響因子(影響力)
書目名稱Artificial Intelligence on Medical Data影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence on Medical Data網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence on Medical Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence on Medical Data被引頻次
書目名稱Artificial Intelligence on Medical Data被引頻次學(xué)科排名
書目名稱Artificial Intelligence on Medical Data年度引用
書目名稱Artificial Intelligence on Medical Data年度引用學(xué)科排名
書目名稱Artificial Intelligence on Medical Data讀者反饋
書目名稱Artificial Intelligence on Medical Data讀者反饋學(xué)科排名
作者: 喧鬧 時間: 2025-3-21 21:37 作者: 使迷醉 時間: 2025-3-22 01:23 作者: Blasphemy 時間: 2025-3-22 06:11 作者: 貧困 時間: 2025-3-22 10:24
EMD-Based Binary Classification of?Mammogramsamic image can be both time intensive and prone to unwanted error. In recent times, there has been a lot of interest in using computer-aided techniques to classify medical images. The current study explores the efficacy of an Earth Mover’s Distance (EMD)-based mammographic image classification techn作者: 無價值 時間: 2025-3-22 16:47
Comparative Analysis of Machine Learning Algorithms with Ensemble Techniques and Forecasting COVID-1velled throughout the globe and was declared an epidemic by WHO in March 2020. The need of examining the scenario became the inducement behind this research. The assessment of COVID-19 in India is performed from 1 April 2020 to 20 May 2021 which amassed a total of 415 instances. Further, preprocessi作者: 刺耳的聲音 時間: 2025-3-22 20:30 作者: BILIO 時間: 2025-3-22 22:29 作者: Cholecystokinin 時間: 2025-3-23 01:24 作者: Granular 時間: 2025-3-23 05:46
IoT?Based Real-Time Wearable Tachycardia Monitoring System Using Machine Learningses an optical heart rate ?and a temperature sensor connected to a microcontroller with?a GPS?module to constantly send real-time medical and location data to a central server using a GSM module via AT commands. The central server will store the data periodically in a database based on MongoDB and N作者: Ancestor 時間: 2025-3-23 12:25
Performance Evaluation of EfficientNet Model Towards Malaria Parasite Detection in Segmented Blood Cear slides under a microscope by trained microscopists to detect infected blood cells. This process is expensive, and results depend both on the quality of smear and on the expertise of the microscopist. Thus, work done in this field is focussed on automating this detection of infected cells. Early 作者: ANTE 時間: 2025-3-23 16:03
Retinal Vessel Segmentation in Fundus Image Using Low-Cost Multiple U-Net Architecture segmentation, each Fundus image is segmented into three zones, each of homogenous intensity, through a threshold-based algorithm designed under the present work. Thereafter, three U-Nets are separately trained for vessel segmentation in each of three zones. The models so trained are tested on two b作者: Adrenaline 時間: 2025-3-23 21:50 作者: 無法破譯 時間: 2025-3-23 23:47
A Survey on UWB Textile Antenna for Wireless Body Area Network (WBAN) Applicationsone’s regular habits, the elements (i.e. antenna and sensor) should be embedded in clothes. Wearable antennas work in close proximity to human body. Since there is coupling of antenna radiations with human body tissues, the antenna performance parameters are affected. The performance of ultra-wideba作者: 不容置疑 時間: 2025-3-24 03:09
Effective Overview of Different ML Models Used for Prediction of COVID-19 Patientsically verified samples utilizing the laboratory molecular testing performs (1100 Covid-19 positive and 1100 Covid-19 negative). The clinical labels were applied to the results, and severity of the samples may be judged based on quantitative RT-PCR (qRT-PCR), cycle threshold, and patient lymphocyte 作者: flutter 時間: 2025-3-24 09:58
Melanoma Cell Detection by Using K-means Clustering Segmentation and Abnormal Cell Detection Techniqction of melanocytes from histopathological image is difficult because melanocytes are very much similar to the keratinocytes. To detect melanoma cells at first, segmentation is required followed by calculation of perimeter of the cells. If it is greater than the threshold value, then it is identifi作者: synovium 時間: 2025-3-24 11:42
2212-9391 ed tomography, optical and confocal microscopy, and video an.This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration作者: Celiac-Plexus 時間: 2025-3-24 16:29 作者: 嬰兒 時間: 2025-3-24 22:07
Retinal Vessel Segmentation in Fundus Image Using Low-Cost Multiple U-Net Architectureresent work. Thereafter, three U-Nets are separately trained for vessel segmentation in each of three zones. The models so trained are tested on two benchmark datasets, viz., DRIVE and STARE and have performed comparably with the present state-of-the-art methods.作者: Preamble 時間: 2025-3-25 01:08
Conference proceedings 2023nalysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 – 12 November 2021. It discusses common research problems and challenges in medical image analysi作者: 擁護(hù)者 時間: 2025-3-25 06:32
A Survey on UWB Textile Antenna for Wireless Body Area Network (WBAN) Applicationsnd (UWB) wearable antennas with various ground plane configurations such as partial ground plane, CPW-fed ground plane and full ground plane has been reviewed in this work. Moreover, this work also mentions the complexity and advantages related to antennas having full ground plane.作者: 單獨 時間: 2025-3-25 09:36
Conference proceedings 2023s, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals..作者: 恃強(qiáng)凌弱的人 時間: 2025-3-25 11:45 作者: canonical 時間: 2025-3-25 15:51
Studies in Systems, Decision and Controlimages in advanced technology with less cost. The machine learning techniques and models will help to improve the quality of the pictures and classify the images to practice for clinical and research purpose.作者: enfeeble 時間: 2025-3-25 20:44 作者: Commonplace 時間: 2025-3-26 00:25 作者: Pericarditis 時間: 2025-3-26 08:18 作者: Deference 時間: 2025-3-26 11:29
Dongsheng Du,Bin Jiang,Peng Shint technique via the acclaimed signal processing method called variational mode decomposition (VMD) aiding any X-ray image classification method for the detection of pneumonia using convolutional neural networks (CNN). The experiments were conducted on VGG-16 model loaded with ImageNet weights followed by numerous configurations of dense layers.作者: 最小 時間: 2025-3-26 16:01
Fault diagnosis of machine toolsanity. As a result, a quick and clear disease classification model to distinguish between normal and COVID-19 infected individuals is critical. In this article, we describe the various machine learning and other models that have been used to predict COVID-19 patients.作者: 土坯 時間: 2025-3-26 18:49
Fault diagnosis of electrical drivest abnormally large cells. The centroid is then calculated and marked as nuclei. Experiment is performed on 30 images and is evaluated based on PPV, sensitivity, and NSR. The proposed work achieved 90% PPV, 85% sensitivity, and 13% SNR value.作者: 偽造 時間: 2025-3-26 22:51
CT Image Enhancement Using Variational Mode Decomposition for?AI-Enabled COVID Classificationnt technique via the acclaimed signal processing method called variational mode decomposition (VMD) aiding any X-ray image classification method for the detection of pneumonia using convolutional neural networks (CNN). The experiments were conducted on VGG-16 model loaded with ImageNet weights followed by numerous configurations of dense layers.作者: MUTED 時間: 2025-3-27 03:56 作者: 有毛就脫毛 時間: 2025-3-27 08:16
Melanoma Cell Detection by Using K-means Clustering Segmentation and Abnormal Cell Detection Techniqt abnormally large cells. The centroid is then calculated and marked as nuclei. Experiment is performed on 30 images and is evaluated based on PPV, sensitivity, and NSR. The proposed work achieved 90% PPV, 85% sensitivity, and 13% SNR value.作者: ostensible 時間: 2025-3-27 09:55
https://doi.org/10.1007/978-981-19-0151-5Biomedicine; Bionanotechnology; Information Retrieval; Pattern Recognition; Telemedicine; Histopathology; 作者: 菊花 時間: 2025-3-27 15:19
978-981-19-0153-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 怎樣才咆哮 時間: 2025-3-27 21:40 作者: Statins 時間: 2025-3-27 23:11
Dongsheng Du,Bin Jiang,Peng Shione in most public places. This project brings out a good technique for recognizing a mask on a face. Principal component analysis (PCA) is a dimensionality reduction method which is used in image and signal processing. It uses only the principal components of a dataset and ignores rest of the compo作者: carbohydrate 時間: 2025-3-28 05:14
Dongsheng Du,Bin Jiang,Peng Shi from person to person via direct contact. More than 210 million people got infected worldwide with more than 18 million active patients as of August 29, 2021. In numerous places, the test process for COVID-19 detection takes longer than 2?days. Once the patient is affected by COVID-19, the obstruct作者: BROOK 時間: 2025-3-28 09:46
Xingjian Wang,Yuwei Zhang,Shaoping Wangn’s, Epilepsy and other Seizure disorders. Most of these brain illnesses are subjected to misclassification, and early diagnosis increases the possibilities of preventing or delaying the development of these disorders. Magnetic Resonance Imaging (MRI) plays an important role in the diagnosis of pati作者: 昆蟲 時間: 2025-3-28 11:07 作者: 在駕駛 時間: 2025-3-28 16:52 作者: Flatter 時間: 2025-3-28 20:39 作者: Accommodation 時間: 2025-3-28 23:32
Ping Chu,Jan Albert (Bob) Mulder,Jan Breemane cells poses a bottle-neck in the research of cancer cure as it is an extremely tedious job to manually isolate these from the rest of the cells in the tissue. Hence, the automation of this process using deep learning (DL)-based object detection and segmentation techniques such as Mask R-CNN will a作者: 寬宏大量 時間: 2025-3-29 04:21
https://doi.org/10.1007/978-3-642-12767-0y, treatment, or predict end results. The accuracy of the image obtained from various medical imaging modalities has a significant impact on successful diagnosis of a disease, as image fusion provides supplementary valuable information. Complete and accurate information cannot be acquired from singl作者: 講個故事逗他 時間: 2025-3-29 10:48 作者: 使害怕 時間: 2025-3-29 11:41 作者: Priapism 時間: 2025-3-29 18:38 作者: Alienated 時間: 2025-3-29 23:12
Fault diagnosis of machine toolsis useful to automate certain kinds of jobs to improve efficiency, but also it also takes away the scope of human errors that are ever-present within such fields. A multitude of factors like differences in skills, experience, and more critically, basic human errors contributes to inadequacy and ther作者: 斜坡 時間: 2025-3-30 03:47 作者: 指令 時間: 2025-3-30 06:19
Fault diagnosis of machine toolsically verified samples utilizing the laboratory molecular testing performs (1100 Covid-19 positive and 1100 Covid-19 negative). The clinical labels were applied to the results, and severity of the samples may be judged based on quantitative RT-PCR (qRT-PCR), cycle threshold, and patient lymphocyte 作者: Androgen 時間: 2025-3-30 11:54 作者: GAVEL 時間: 2025-3-30 13:05 作者: 頂點 時間: 2025-3-30 20:06 作者: 性學(xué)院 時間: 2025-3-30 22:55
Artificial Intelligence on Medical Data978-981-19-0151-5Series ISSN 2212-9391 Series E-ISSN 2212-9413 作者: 緊張過度 時間: 2025-3-31 03:51 作者: GUISE 時間: 2025-3-31 05:25
Analysis of Machine Learning and Deep Learning Algorithms for Detection of Brain Disorders Using MRI algorithms such as support vector machine (SVM), Decision Tree, Random Forest, Gaussian Naive Bayes, and 1D-CNN deep learning algorithm have been used for the classification of the disorders. It has been observed that Gaussian NB performed the best on Schizophrenia data, while Random Forest outperf作者: LIEN 時間: 2025-3-31 11:48 作者: PLIC 時間: 2025-3-31 16:49
Imaging Radiomic-Driven Framework for Automated Cancer Investigation terms of quantitative analysis. The biomedical tools are not suitable for extracting the quantitative data. When the gliomas tumor is in images, then radiomics can be used to extract valuable quantitative information for diagnosis and prediction of gliomas tumor. Automated feature learning from med作者: 癡呆 時間: 2025-3-31 20:42
Neoplastic—Nuclei Cell Labelling Using Mask R-CNNoposed technique generates a pixel-wise binary mask. These masks are capable of segmenting these instances and facilitating the advancement of intelligent systems in medical imaging and computational pathology. This time can instead be devoted to developing better cures by conducting more research. 作者: 一罵死割除 時間: 2025-4-1 01:08
