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標(biāo)題: Titlebook: Biomedical Signal and Image Processing with Artificial Intelligence; Chirag Paunwala,Mita Paunwala,Norliza Mohd. Noor Book 2023 The Editor [打印本頁]

作者: onychomycosis    時間: 2025-3-21 17:36
書目名稱Biomedical Signal and Image Processing with Artificial Intelligence影響因子(影響力)




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence被引頻次




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence被引頻次學(xué)科排名




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence年度引用




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence年度引用學(xué)科排名




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence讀者反饋




書目名稱Biomedical Signal and Image Processing with Artificial Intelligence讀者反饋學(xué)科排名





作者: insightful    時間: 2025-3-21 20:18
Histopathology Whole Slide Image Analysis for Breast Cancer Detection,etection task. Some of the salient aspects of our approach include extracting embeddings from a pretrained CNN network, using a cosine loss and training schedule for the classification network, and suggesting an overall decision making criteria for the WSI based on intermediate decisions on local ra
作者: 指數(shù)    時間: 2025-3-22 00:55

作者: STIT    時間: 2025-3-22 06:20

作者: Anticoagulant    時間: 2025-3-22 09:45
An Object Aware Hybrid U-Net for Breast Tumour Annotation,und the suspected tumour region. The polygonal boundary covers the extent of the tumour in the slide. However, this kind of annotation is time consuming and tedious when there are large datasets..Objective: In this proposed work, we have tried to imitate pathologist like annotation by segmenting tum
作者: 永久    時間: 2025-3-22 14:16

作者: BIBLE    時間: 2025-3-22 20:46
Content-Based Image Retrieval Techniques and Their Applications in Medical Science,ue to the massive number of images generated by the mobiles and various image-capturing machines..Objectives: Any image retrieval system’s primary goal is to reduce the semantic gap between low-level features and high-level perception..Methods: The CBIR techniques are classified into multiple catego
作者: Host142    時間: 2025-3-22 22:08
Data Analytics on Medical Images with Deep Learning Approach, also foster scientific and technological advances. Medical images play a significant role in diagnosis and experimentation. For years, many experimentations and analyses have been made on medical images with a broad scope of achieving the desired results. Medical modalities like MRI, CT, PET, X-ray
作者: 刺耳的聲音    時間: 2025-3-23 02:46

作者: 消耗    時間: 2025-3-23 06:35

作者: Inertia    時間: 2025-3-23 11:24

作者: 停止償付    時間: 2025-3-23 15:55

作者: follicle    時間: 2025-3-23 21:53

作者: 闖入    時間: 2025-3-24 01:31

作者: 間接    時間: 2025-3-24 03:20
Machine Learning and Deep Learning-Based Framework for Detection and Classification of Diabetic Ret that play a significant role in DR are microaneurysms, small intra-retinal dot haemorrhages, larger blot haemorrhages, and, especially, red lesions in the nerve fibre layer. In addition, whitish lesions can also be indicators of DR; for example, lipid exudates and cotton wool spots, which are nerve
作者: subordinate    時間: 2025-3-24 10:16
Applications of Artificial Intelligence in Medical Images Analysis,e invasive procedure to obtain images using contrast agent for clear visualization of the tissue of interest. The images obtained using different modalities are highly unstructured, which makes it difficult for inexperienced medical practitioner to derive the value of the unstructured data. Conseque
作者: CLASP    時間: 2025-3-24 11:12
Intelligent Image Segmentation Methods Using Deep Convolutional Neural Network,on, object recognition, anatomical structure analysis, etc. The majority of these computer-aided analyses require an intelligent segmentation approach for easy understanding of each image component separately, automatically, and spontaneously. Consequently, AI becomes the primary guiding medium towa
作者: 駁船    時間: 2025-3-24 16:21

作者: 自作多情    時間: 2025-3-24 22:05
Early Lung Cancer Detection by Using Artificial Intelligence System,ch helps to attain a high detection rate and reduces the time consumed for analyzing the sample. In this paper, CAD system based on sputum color images is proposed which consists of four main processing steps. It starts with the preprocessing step using a heuristic rule-based and a Bayesian classifi
作者: BLANC    時間: 2025-3-25 00:29

作者: 輕浮女    時間: 2025-3-25 04:00
978-3-031-15818-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: medium    時間: 2025-3-25 08:21
Biomedical Signal and Image Processing with Artificial Intelligence978-3-031-15816-2Series ISSN 2522-8595 Series E-ISSN 2522-8609
作者: implore    時間: 2025-3-25 12:23

作者: infringe    時間: 2025-3-25 16:09

作者: 商品    時間: 2025-3-25 22:39
European Forest Monitoring Approachesdeaths worldwide. Many researchers race against time in producing vaccines and also used the latest technology in data analytics and artificial intelligence to help curb the pandemic. Deep features have shown to be an emerging area of research in various fields. Most recent deep works in the lung ar
作者: 斑駁    時間: 2025-3-26 02:11
European Forest Monitoring Approachese of the most common chronic brain diseases, affecting people of any gender and age. Electroencephalogram (EEG) signals are utilized to diagnose epilepsy effectively. Manually inspecting the EEG signals is an arduous and time-consuming process. A Gated Recurrent Unit–based deep learning architecture
作者: 使迷醉    時間: 2025-3-26 06:34

作者: Encapsulate    時間: 2025-3-26 11:22

作者: glomeruli    時間: 2025-3-26 13:23
Building a Metropolitan Nation: 1900–1940ue to the massive number of images generated by the mobiles and various image-capturing machines..Objectives: Any image retrieval system’s primary goal is to reduce the semantic gap between low-level features and high-level perception..Methods: The CBIR techniques are classified into multiple catego
作者: 闖入    時間: 2025-3-26 18:44

作者: epidermis    時間: 2025-3-26 23:11

作者: 北極人    時間: 2025-3-27 02:20
Soil Quality and Methods for its Assessment,ful skin malignancy cases are fundamental to guarantee a low death rate as the survival rate. Most of the related works focus on machine learning-based algorithms, but they failed to provide the maximum accuracy and specificity. Thus, to overcome this problem, integrated unsupervised learning with p
作者: 審問,審訊    時間: 2025-3-27 07:24

作者: Afflict    時間: 2025-3-27 12:37
SpringerBriefs in Earth Sciencesal representations along with maintaining a satisfactory visual form of medical images for analysis. In this proposed method, brightness component (Y) is encoded using the conventional encoding and gray scale compression algorithm, while chrominance components are processed further using the propose
作者: Customary    時間: 2025-3-27 13:38
https://doi.org/10.1007/978-3-319-71861-3ons which are unsuitable for pregnant women; hence, ultrasound is preferred for examination. Ultrasound images are marred by speckle noise, resulting in masking of important diagnostic information, which makes it challenging for radiologists to differentiate between breast abnormalities. For breast
作者: Incorruptible    時間: 2025-3-27 18:51

作者: Chagrin    時間: 2025-3-27 23:23
Land Use in Advancing Agriculture that play a significant role in DR are microaneurysms, small intra-retinal dot haemorrhages, larger blot haemorrhages, and, especially, red lesions in the nerve fibre layer. In addition, whitish lesions can also be indicators of DR; for example, lipid exudates and cotton wool spots, which are nerve
作者: abreast    時間: 2025-3-28 03:29

作者: 損壞    時間: 2025-3-28 09:36
Gerhard Gerold,Michael Fremerey,Edi Guhardjaon, object recognition, anatomical structure analysis, etc. The majority of these computer-aided analyses require an intelligent segmentation approach for easy understanding of each image component separately, automatically, and spontaneously. Consequently, AI becomes the primary guiding medium towa
作者: cocoon    時間: 2025-3-28 13:23

作者: 刺耳    時間: 2025-3-28 17:21
Palgrave Studies in the History of Financech helps to attain a high detection rate and reduces the time consumed for analyzing the sample. In this paper, CAD system based on sputum color images is proposed which consists of four main processing steps. It starts with the preprocessing step using a heuristic rule-based and a Bayesian classifi
作者: 礦石    時間: 2025-3-28 21:03

作者: tooth-decay    時間: 2025-3-29 02:55
EAI/Springer Innovations in Communication and Computinghttp://image.papertrans.cn/b/image/188095.jpg
作者: 愉快么    時間: 2025-3-29 05:31
An Object Aware Hybrid U-Net for Breast Tumour Annotation,s the overall performance of the breast tumour dataset..Conclusion: The results obtained show that the pathologist like annotation could be achieved by developing such hybrid models that integrate the domain knowledge through classical segmentation methods like Active Contours and global knowledge t
作者: 詞匯記憶方法    時間: 2025-3-29 10:14

作者: Increment    時間: 2025-3-29 11:25

作者: 向下    時間: 2025-3-29 17:14

作者: 摸索    時間: 2025-3-29 19:47
Detection of Fetal Abnormality Using ANN Techniques,used for diagnosis and classification of fetal growth. Performances of these methods are compared and evaluated based on desired output and mean square error. Results found from the Bayesian-based neural networks are in closed confirmation with the real time results.
作者: aerobic    時間: 2025-3-30 03:57
Machine Learning and Deep Learning-Based Framework for Detection and Classification of Diabetic Rete designed techniques and their applications in retinal images. We also provided our contribution of different algorithms in a tabulated form to help other researchers understand the merits and disadvantages of these algorithms.
作者: 致命    時間: 2025-3-30 04:36

作者: EPT    時間: 2025-3-30 11:28

作者: 清醒    時間: 2025-3-30 15:17

作者: IVORY    時間: 2025-3-30 17:04
Early Lung Cancer Detection by Using Artificial Intelligence System,. The performance evaluation was done based on the sensitivity, specificity, and accuracy. Our methods are validating by using a set of experiments conducted with a data set of 100 images. The final results showed that the techniques used outperformed conventional methods. The proposed CAD system ac
作者: Congestion    時間: 2025-3-30 23:59
Book 2023ds of decision support system for medical research;.Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.. .
作者: 商業(yè)上    時間: 2025-3-31 04:39

作者: 自戀    時間: 2025-3-31 06:53
The Patchwork of Local Governmentss the overall performance of the breast tumour dataset..Conclusion: The results obtained show that the pathologist like annotation could be achieved by developing such hybrid models that integrate the domain knowledge through classical segmentation methods like Active Contours and global knowledge t
作者: Esophagitis    時間: 2025-3-31 10:28
The Patchwork of Local Governmentserformance. We have used Hardware Description Language to exploit the advantage of parallel processing and also shown that it provides a high computational performance in comparison to software approach. The hardware implementation has been performed with single precision floating-point numbers for
作者: 重疊    時間: 2025-3-31 13:29

作者: cacophony    時間: 2025-3-31 18:55
Soil Quality and Methods for its Assessment,xture, and low-level and color features, respectively. Finally, to archive the maximum efficiency of the system, the PNN was developed for classification of skin cancer with the gray level co-occurrence matrix (GLCM)-based texture features, discrete wavelet transform (DWT)-based low level features,
作者: 競選運(yùn)動    時間: 2025-4-1 00:18
Land Use in Advancing Agricultureused for diagnosis and classification of fetal growth. Performances of these methods are compared and evaluated based on desired output and mean square error. Results found from the Bayesian-based neural networks are in closed confirmation with the real time results.
作者: Endearing    時間: 2025-4-1 04:43





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