標(biāo)題: Titlebook: Classification in BioApps; Automation of Decisi Nilanjan Dey,Amira S. Ashour,Surekha Borra Book 2018 Springer International Publishing AG 2 [打印本頁] 作者: Mosquito 時(shí)間: 2025-3-21 18:57
書目名稱Classification in BioApps影響因子(影響力)
書目名稱Classification in BioApps影響因子(影響力)學(xué)科排名
書目名稱Classification in BioApps網(wǎng)絡(luò)公開度
書目名稱Classification in BioApps網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Classification in BioApps被引頻次
書目名稱Classification in BioApps被引頻次學(xué)科排名
書目名稱Classification in BioApps年度引用
書目名稱Classification in BioApps年度引用學(xué)科排名
書目名稱Classification in BioApps讀者反饋
書目名稱Classification in BioApps讀者反饋學(xué)科排名
作者: 甜得發(fā)膩 時(shí)間: 2025-3-21 20:42
https://doi.org/10.1007/978-3-319-65981-7Bio-medical signal/image analysis; Decision support systems; Machine learning; Support vector machine; F作者: 消毒 時(shí)間: 2025-3-22 00:38 作者: 單調(diào)女 時(shí)間: 2025-3-22 06:29
Researching Cultures of Learning image quality is the need of the hour. The effective, yet automatic methods for measurement of quality of a medical image are of particular interest. This chapter is an overview of different medical imaging technologies, and the related image quality assessment (IQA) algorithms. The main focus is o作者: 增減字母法 時(shí)間: 2025-3-22 11:11
Gulnissa Makhanova,Martin Cortazzic resonance images. A new method called the complex orthogonal Ripplet-II transform is proposed as a feature extraction procedure. Artificial neural network is utilized to classify the obtained features as a hemangioma or cyst. The results are evaluated with the results of the systems using Ridgelet作者: 他日關(guān)稅重重 時(shí)間: 2025-3-22 12:55 作者: 他日關(guān)稅重重 時(shí)間: 2025-3-22 21:04 作者: stress-response 時(shí)間: 2025-3-23 00:41
Benjamin Farrand,Helena Carrapiconificance because, as has been stated frequently, the possibility of developing breast cancer is increased if the breast tissue is of high density. Radiologists predict breast tissue density by visually examining the mammogram, and the accuracy of this diagnosis is solely dependent on the experience作者: Projection 時(shí)間: 2025-3-23 05:26 作者: 江湖騙子 時(shí)間: 2025-3-23 08:36 作者: 熱烈的歡迎 時(shí)間: 2025-3-23 11:12 作者: 惰性氣體 時(shí)間: 2025-3-23 15:53 作者: 裂縫 時(shí)間: 2025-3-23 20:39
Assessment: A Philosophical Positionntly, image processing based on very deep and complex processing structures became the focus of renewed interest, mostly as a result of excellent performance in a wide range of problems. One of the main drivers of this interest in these structures, convolutional neural networks (CNNs), is the availa作者: 滲入 時(shí)間: 2025-3-24 00:50
Evaluating Curricular Initiativesh report, nearly 100,000 women succumb to cervical cancer in India annually. Manual detection of cervical cancer becomes less effective due to subjective analysis, labor-intensive methods and time consumption. Hence, there arises the need for an automated system for cervical cancer detection. Even t作者: cavity 時(shí)間: 2025-3-24 04:06 作者: 骯臟 時(shí)間: 2025-3-24 06:34 作者: SPECT 時(shí)間: 2025-3-24 12:52 作者: 施加 時(shí)間: 2025-3-24 17:20
Continuing Fundamental Researchs have been made in medical innovation and enhanced technologies, there are still major concerns regarding identifying a victim and their blood group in the event of an emergency. Information and Communication Technology (ICT) can help in identifying the location of an accident through a global posi作者: 震驚 時(shí)間: 2025-3-24 22:40
Nilanjan Dey,Amira S. Ashour,Surekha BorraProvides broad background information on and solutions to existing challenges in classifiers used for biomedical applications.Addresses various applications for the classification of biomedical signal作者: 成績(jī)上升 時(shí)間: 2025-3-25 00:17 作者: landfill 時(shí)間: 2025-3-25 03:47 作者: 寄生蟲 時(shí)間: 2025-3-25 09:47 作者: 不如屎殼郎 時(shí)間: 2025-3-25 11:41 作者: deviate 時(shí)間: 2025-3-25 18:04
Benjamin Farrand,Helena Carrapicoisons were made among these three normalization techniques. After being appropriately structured, these normalized datasets were transformed accordingly with three different transformation processes: rank transformation, nominal to binary transformation and Box-Cox transformation. To prevent false p作者: 荒唐 時(shí)間: 2025-3-25 23:21 作者: 思想靈活 時(shí)間: 2025-3-26 02:48
Continuing Fundamental Researchh and classification. The feature selection methods have been analyzed for the extraction of candidate genes with biological significance for rice-related diseases; these are a support vector machine with recursive feature elimination (SVM-RFE), minimum redundancy maximum relevance (mRMR), principal作者: AUGUR 時(shí)間: 2025-3-26 05:06
Assessment: A Philosophical Positionity in order to assemble a set of representative works. An original contribution reporting the use of CNNs to quantify some corneal endothelial morphometric parameters is then presented in a separate section. Finally, some considerations are made on possible developments of the techniques described,作者: 半圓鑿 時(shí)間: 2025-3-26 08:38 作者: Firefly 時(shí)間: 2025-3-26 14:21 作者: Archipelago 時(shí)間: 2025-3-26 19:02
Capability: A Philosophical Positioner solution. While both stages are employed when segmenting individual IVUS frames, in the event of complete pullbacks, the two stages are employed on the first frame but only the second stage is employed on subsequent frames, using initialization propagated from the previously segmented frame as th作者: 字的誤用 時(shí)間: 2025-3-27 00:35
Assessment: A Philosophical Positiond conjugate symmetric-complex Hadamard transform (CS-CHT) to eliminate redundancy. In DWT, the features extracted contain both time and frequency components. In CHT and CS–CHT, the features of an ECG signal can be obtained only by considering four orders: natural, Paley or dyadic, sequency and Cal–S作者: 吞噬 時(shí)間: 2025-3-27 03:44
Continuing Fundamental Researchises the input data, but also minimizes the dimensionality of the data. An ELM is applied to a preprocessed image to extract the unique features for victim identification. An effective optimal cost region matcher (OCRM) with deep learning techniques is applied to enhance the accuracy of victim recog作者: DUST 時(shí)間: 2025-3-27 06:18 作者: 蛤肉 時(shí)間: 2025-3-27 11:37
Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density Patterns Using Vargorithms, mammographic images were taken from the mini-MIAS (Mammographic Image Analysis Society) dataset. From each mammographic image, a region of interest (ROI) (200?×?200 pixels in size) was cropped from the central part of the breast tissue. From the extracted ROI, texture information was compu作者: 蛙鳴聲 時(shí)間: 2025-3-27 16:31
Two-Step Verifications for Multi-instance Features Selection: A Machine Learning Approachisons were made among these three normalization techniques. After being appropriately structured, these normalized datasets were transformed accordingly with three different transformation processes: rank transformation, nominal to binary transformation and Box-Cox transformation. To prevent false p作者: meritorious 時(shí)間: 2025-3-27 20:37
Machine Learning Based Plant Leaf Disease Detection and Severity Assessment Techniques: State-of-theude rust; tikka; powdery and downy mildew; late blight and early blight in groundnut, apple, potato and tomato plants. An analysis is made of the factors that stress plants; for example, water, pests and soil in green house plants. Leaf blast, brown spot and sheath rot detected in rice plants are di作者: NOVA 時(shí)間: 2025-3-28 00:43 作者: EWE 時(shí)間: 2025-3-28 04:56 作者: 貨物 時(shí)間: 2025-3-28 08:26 作者: Creditee 時(shí)間: 2025-3-28 14:14
Deep Learning for Medical Image Processing: Overview, Challenges and the Futurening architecture and its optimization when used for medical image segmentation and classification. The chapter closes with a discussion of the challenges of deep learning methods with regard to medical imaging and open research issue.作者: 教唆 時(shí)間: 2025-3-28 16:29 作者: Nutrient 時(shí)間: 2025-3-28 18:58
ECG Signal Dimensionality Reduction-Based Atrial Fibrillation Detectiond conjugate symmetric-complex Hadamard transform (CS-CHT) to eliminate redundancy. In DWT, the features extracted contain both time and frequency components. In CHT and CS–CHT, the features of an ECG signal can be obtained only by considering four orders: natural, Paley or dyadic, sequency and Cal–S作者: Suggestions 時(shí)間: 2025-3-29 02:41
A Bio-application for Accident Victim Identification Using Biometricsises the input data, but also minimizes the dimensionality of the data. An ELM is applied to a preprocessed image to extract the unique features for victim identification. An effective optimal cost region matcher (OCRM) with deep learning techniques is applied to enhance the accuracy of victim recog作者: 地名表 時(shí)間: 2025-3-29 03:59 作者: 河潭 時(shí)間: 2025-3-29 11:13
Researching Cultures of Learningn objective assessment (OA), rather than subjective assessment (SA). Three types of OA-based IQA algorithms are presented in detail: full reference-based IQA (FR-IQA) algorithms; no reference-based IQA (NR-IQA) algorithms and reduced reference-based IQA (RR-IQA) algorithms.作者: magnanimity 時(shí)間: 2025-3-29 14:50 作者: 具體 時(shí)間: 2025-3-29 19:29
https://doi.org/10.1057/9781137296344efficient system for the classification of mocardial infarction (MI) using an artificial neural network (ANN) (Levenberg-Marquardt Neural Network) and two different classifiers. Our experimental results show that an FFPSO algorithm with an ANN give a 99.3% rate of accuracy when combining the MIT-BIH and the NSR databases.作者: carotid-bruit 時(shí)間: 2025-3-29 21:51
Ruth McAlister,Fabian Campbell-Westr implementation. These advancements in bioinformatics, along with developments in machine learning-based classification, would provide powerful toolboxes for the classification of transcriptome information available through RNA-Seq data.作者: Encoding 時(shí)間: 2025-3-30 00:09 作者: 新手 時(shí)間: 2025-3-30 04:43 作者: Permanent 時(shí)間: 2025-3-30 08:32
Machine Learning-Based State-of-the-Art Methods for the Classification of RNA-Seq Datar implementation. These advancements in bioinformatics, along with developments in machine learning-based classification, would provide powerful toolboxes for the classification of transcriptome information available through RNA-Seq data.作者: JIBE 時(shí)間: 2025-3-30 14:34 作者: 僵硬 時(shí)間: 2025-3-30 17:21 作者: Itinerant 時(shí)間: 2025-3-30 20:52 作者: GROG 時(shí)間: 2025-3-31 04:06
Medical Imaging and Its Objective Quality Assessment: An Introduction image quality is the need of the hour. The effective, yet automatic methods for measurement of quality of a medical image are of particular interest. This chapter is an overview of different medical imaging technologies, and the related image quality assessment (IQA) algorithms. The main focus is o作者: angiography 時(shí)間: 2025-3-31 08:01 作者: 可憎 時(shí)間: 2025-3-31 09:19
ECG Based Myocardial Infarction Detection Using Different Classification Techniques Recent methods of feature extraction—for example, autoregressive (AR) modeling; magnitude squared coherence (MSC); wavelet coherence (WTC) using the PhysioNet database—have yielded an extensive set of features. A large number of these features may be inconsequential, as they contain superfluous com作者: 召集 時(shí)間: 2025-3-31 14:00
