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標(biāo)題: Titlebook: Computer Vision and Machine Intelligence in Medical Image Analysis; International Sympos Mousumi Gupta,Debanjan Konar,Sambhunath Biswas Con [打印本頁]

作者: HEM    時間: 2025-3-21 17:17
書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis影響因子(影響力)




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis網(wǎng)絡(luò)公開度




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis被引頻次




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis被引頻次學(xué)科排名




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis年度引用




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis年度引用學(xué)科排名




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis讀者反饋




書目名稱Computer Vision and Machine Intelligence in Medical Image Analysis讀者反饋學(xué)科排名





作者: Malcontent    時間: 2025-3-21 23:47

作者: Anthology    時間: 2025-3-22 03:44
Computer Vision and Machine Intelligence in Medical Image Analysis978-981-13-8798-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
作者: 鐵塔等    時間: 2025-3-22 05:53

作者: 預(yù)兆好    時間: 2025-3-22 08:48
https://doi.org/10.1007/978-1-4302-0686-6 wide range of applications it has. There have been various methods to recognize and classify objects like shape matching, color matching, sliding window approach, etc. but a common problem the computational models face is the?appropriate representation of 3D objects, image variation with angle vari
作者: 滴注    時間: 2025-3-22 13:19
https://doi.org/10.1007/978-1-4302-0686-6ated significant illness. Many of the existing methods that are used to monitor the aforementioned vital signs are camera-based. In these methods, sensors are fixed to the body that are not sturdy to the motion of the subject. Another method to monitor vital signs is photoplethysmography (PPG), an e
作者: 滴注    時間: 2025-3-22 17:24

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作者: 能夠支付    時間: 2025-3-23 02:01

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作者: OVERT    時間: 2025-3-23 11:24
Migrating a Windows Domain to Samba Controlas been removed using morphological operation and with contrast stretching algorithm intensity, normalization has been done. Thereafter, image enhancement has been performed using multiple combinations of filtering algorithms. Finally, using deformable models, Fuzzy c-means and K-means clustering al
作者: Concomitant    時間: 2025-3-23 15:25

作者: 熱烈的歡迎    時間: 2025-3-23 21:47
Arjan Tijms,Teo Bais,Werner Keilcess time consuming and prone to manual errors. Thus, it is needed urgently to develop an automated system for the screening process. Though extensive research work is going on for decades to develop the automated system, but the success is quite less owing to the fact in Pap smears, nuclei and cyto
作者: idiopathic    時間: 2025-3-24 01:40
The Definitive Guide to Shopify Themesning of tissue under a microscope to examine the manifestation of diseases. The term histology deals with the study of entire cells of the sample specimen, whereas histopathology is a technique, which deals with analyzing for microscopic changes or abnormalities in tissues that are caused as a resul
作者: Fracture    時間: 2025-3-24 03:57
The Definitive Guide to Shopify Themesrt of World Health?Organization (WHO), in 2018. Due to the presence of a relatively long?asymptomatic phase, early detection of diabetes is always desired for a clinically meaningful outcome. Around 50% of all people suffering from diabetes are undiagnosed because of its long-term asymptomatic phase
作者: commensurate    時間: 2025-3-24 10:17
https://doi.org/10.1007/978-1-4842-3724-3lored to deal with these types of uncertain environment and to?analyze the data explained by the patients. Numerous studies have been done in the field of medicine using fuzzy sets, in particular, medical diagnosis is a prominent one. However, most of the studies leads to counterintuitive results. T
作者: Organization    時間: 2025-3-24 13:49
https://doi.org/10.1007/978-1-4842-3724-3s, a generalized nonlinear simulator is developed and the same is verified by comparing the results with those of experimental observation. The model predicts that identification of cancerous cell in FBP could be done satisfactorily by analyzing corresponding thermographs. For T-Ray source and detec
作者: VEIL    時間: 2025-3-24 17:48
Mousumi Gupta,Debanjan Konar,Sambhunath BiswasCovers the latest trends in computer vision and hybrid machine learning paradigms for medical image analysis.Includes related topics like magnetic resonance, computed tomography, optical and confocal
作者: conscience    時間: 2025-3-24 20:29
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/234066.jpg
作者: Lamina    時間: 2025-3-25 02:09
Fuzzy Inference System for Efficient Lung Cancer Detection, research contributions in this area but research attempt toward robustness is all-time challenge. We have implemented a fuzzy inference system, which includes four important stages as preprocessing, image segmentation, feature extraction, and design of fuzzy inference rules. These rules are used to identify cancerous cells accurately.
作者: 不連貫    時間: 2025-3-25 07:18
,Classification Algorithms to Predict Heart Diseases—A Survey, highest prediction accuracy among the other algorithms, viz., K-Nearest Neighbors (KNN), Decision Tree (DT), Support Vector Machine (SVM), and Gaussian Na?ve Bayes (GNB), and Artificial Neural Network (ANN) is used for generating models.
作者: 蚊帳    時間: 2025-3-25 09:47
Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function-Bplasm are often found in clumps lacking any boundaries separating them. In this work, we have proposed a gradient embedded cost function for cytoplasm segmentation. We have used ISBI-15 dataset for the work and the result obtained is compared with the state-of-the-art techniques.
作者: 得罪人    時間: 2025-3-25 12:47
Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets,herefore, in this paper, a medical diagnosis has been made using the composition of bipolar-valued fuzzy sets. It is observed that the present approach has the ability to address the medical diagnosis problem so effectively, which tallies with analytical results along with human intuitions.
作者: 重疊    時間: 2025-3-25 17:19
2194-5357 chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals..978-981-13-8797-5978-981-13-8798-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
作者: Absenteeism    時間: 2025-3-25 21:12

作者: biosphere    時間: 2025-3-26 03:56
Migrating a Windows Domain to Samba Controlicity, an area under the curve, connectivity area length, and the Matthews Correlation Coefficient have been calculated. All the above-aforementioned algorithms have been tested over three publicly available datasets such as DRIVE, STARE, and CHASE-DB-1.
作者: Platelet    時間: 2025-3-26 06:06

作者: irradicable    時間: 2025-3-26 08:45
A Hybrid Filtering-Based Retinal Blood Vessel Segmentation Algorithm,icity, an area under the curve, connectivity area length, and the Matthews Correlation Coefficient have been calculated. All the above-aforementioned algorithms have been tested over three publicly available datasets such as DRIVE, STARE, and CHASE-DB-1.
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作者: 輕打    時間: 2025-3-26 18:35
Conference proceedings 2020–27 February 2019. It discusses common research problems and challenges in medical image analysis, 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 studi
作者: 完成    時間: 2025-3-26 23:25

作者: OFF    時間: 2025-3-27 03:05

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作者: 停止償付    時間: 2025-3-27 16:52

作者: 自作多情    時間: 2025-3-27 19:24
Computer Vision and Machine Intelligence in Medical Image AnalysisInternational Sympos
作者: ALTER    時間: 2025-3-27 23:59

作者: Amenable    時間: 2025-3-28 05:03

作者: 懶洋洋    時間: 2025-3-28 08:29
Medical Image Compression Scheme Using Number Theoretic Transform, in progress to optimize the algorithm in terms of computations and hardware implementation of NTTs for real medical images. It is forecasted that with the use of dedicated hardware and optimization of these digital transforms, much higher compression ratio at faster speed may be achieved.
作者: 漂浮    時間: 2025-3-28 10:40
The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm,rform uniform intensity distribution in retinal images. The proposed method was tested by publicly available datasets such as DRIVE, STARE, MESSIDOR, DIARETDB0, and University of Lincoln. The proposed method has obtained an average area under receiver operating characteristics of 0.9203. Moreover, t
作者: 瑣事    時間: 2025-3-28 15:36

作者: Iniquitous    時間: 2025-3-28 20:16

作者: 必死    時間: 2025-3-29 02:55
Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques,ient. In this work, we have used such a dataset of 520 instances, which has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh. We have analyzed the dataset with Naive Bayes Algorithm, Logistic Regression Algorithm, and Random Forest Algori
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作者: Motilin    時間: 2025-3-29 08:06

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作者: 卵石    時間: 2025-3-29 21:39

作者: Abduct    時間: 2025-3-30 00:15
Arjan Tijms,Teo Bais,Werner Keils higher than 68.9%, 70.2%, and 69.4%, respectively. It was found that all performance measures achieve over 87.5, 89.4, and 86.7% for the classification task using random forest classifier. These promising results suggest that the proposed technique can discriminate retinal images having laser mark
作者: 銀版照相    時間: 2025-3-30 05:24

作者: 即席演說    時間: 2025-3-30 10:34

作者: 尊重    時間: 2025-3-30 12:59

作者: homocysteine    時間: 2025-3-30 18:07
A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Sefever, chills, and difficulty in breathing. Pneumonia can be caused by a variety of organisms such as bacteria, viruses, and fungi. Apart?from causing difficulty in respiration, pneumonia can cause other complications such as bacteremia, lung abscess, and pleural effusion, among countless others. Th
作者: 逃避責(zé)任    時間: 2025-3-30 20:49

作者: 無所不知    時間: 2025-3-31 04:12

作者: grudging    時間: 2025-3-31 08:22
Fuzzy Inference System for Efficient Lung Cancer Detection,tion of lung cancer in earlier stage will reduce the cause of death, and lung cancer is said to be one of the leading causes of death. Computed tomography (CT) is used for lung cancer analysis and diagnosis, and manual process suffers from several challenges such as poor accuracy. There are numerous




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