標(biāo)題: Titlebook: Biomedical Image Analysis; Special Applications Pritpal Singh Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li [打印本頁] 作者: SPARK 時間: 2025-3-21 16:53
書目名稱Biomedical Image Analysis影響因子(影響力)
作者: 旁觀者 時間: 2025-3-21 20:20 作者: 疲憊的老馬 時間: 2025-3-22 03:01 作者: CLAM 時間: 2025-3-22 07:19
COVID-19 CT Scan Image Segmentation Using Quantum-Clustering Approach,n be accurately detected. The proposed method is verified and validated with different chest CT scan images of COVID-19 patients. The segmented images obtained using FFQOAK method are compared with various benchmark image segmentation methods. The proposed method achieves mean squared error, peak si作者: Sinus-Node 時間: 2025-3-22 11:50 作者: 軍械庫 時間: 2025-3-22 15:59 作者: GUILT 時間: 2025-3-22 20:08 作者: freight 時間: 2025-3-22 21:39
https://doi.org/10.1007/978-981-10-0173-4py values of gray levels. Finally, an image fusion operation is performed on the segmented images with different thresholds to include all features and identify the location of brain tumor. The fusion images are compared with the segmented images obtained by five different methods, including fuzzy c作者: 共同給與 時間: 2025-3-23 04:19 作者: 碎石頭 時間: 2025-3-23 06:06
Book 2024also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, t作者: conduct 時間: 2025-3-23 10:26
2367-1742 image analysis methods applied to MRIs and CT scans.This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosoph作者: effrontery 時間: 2025-3-23 15:31 作者: Oration 時間: 2025-3-23 21:03 作者: OASIS 時間: 2025-3-24 00:05
Book 2024s to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government?institutes and medical colleges...?.作者: Chameleon 時間: 2025-3-24 02:27
,Parkinson’s Disease MRIs Analysis Using Fuzzy Clustering Approach, Radiologists and medical practitioners mostly depended on the analysis of PD patients’ magnetic resonance images (MRIs) to identify this disease. Due to presence of grayscale features and uncertain inherited information in MRIs, their pattern recognition and visualization were very complex. With th作者: FISC 時間: 2025-3-24 09:21 作者: 偽善 時間: 2025-3-24 11:51 作者: 刺穿 時間: 2025-3-24 15:03 作者: FAWN 時間: 2025-3-24 19:04 作者: 聲明 時間: 2025-3-25 02:41
Pritpal SinghProvides in-depth description of algorithms.Discusses various biomedical image segmentation and clustering algorithms.Investigates different image analysis methods applied to MRIs and CT scans作者: Obverse 時間: 2025-3-25 04:32 作者: corn732 時間: 2025-3-25 09:51 作者: overreach 時間: 2025-3-25 15:37
Introduction,To develop pattern recognition and vision method for medical images has become one of the most challenging tasks in view of practical as well as industrial interest.作者: MUT 時間: 2025-3-25 18:40
https://doi.org/10.1007/978-981-99-9939-2Fuzzy set; Neutrosophic set; Clustering; Segmentation; MRIs; CT scans作者: 無法解釋 時間: 2025-3-25 23:15 作者: custody 時間: 2025-3-26 03:59 作者: 遺棄 時間: 2025-3-26 05:18
https://doi.org/10.1007/978-3-642-96430-5 Radiologists and medical practitioners mostly depended on the analysis of PD patients’ magnetic resonance images (MRIs) to identify this disease. Due to presence of grayscale features and uncertain inherited information in MRIs, their pattern recognition and visualization were very complex. With th作者: 衰老 時間: 2025-3-26 12:03
https://doi.org/10.1007/978-3-642-96430-5ecisions through evaluating the developments in these regions. Study of these MRIs suffers from two major issues such as: (a) the boundaries of their gray matter and white matter regions are ambiguous and unclear in nature, and (b) their regions are formed with unclear inhomogeneous gray structures.作者: bleach 時間: 2025-3-26 15:22
https://doi.org/10.1007/978-981-10-0173-4ases by evaluating the developments in these areas. One of the significant approaches used in analyzing the MRIs were segmenting the regions. However, their segmentation suffers from two major problems as: (a) the boundaries of their gray matter and white matter regions are ambiguous in nature, and 作者: BRAND 時間: 2025-3-26 18:25
https://doi.org/10.1007/978-981-10-0173-4s and helps to model uncertainties with six different memberships very effectively. To demonstrate the real-time application of this theory, a new segmentation method for brain tumor tissue structures in magnetic resonance imaging (MRI) is presented. There are inconsistencies in the gray levels obse作者: LITHE 時間: 2025-3-26 22:41
https://doi.org/10.1057/9781137373618emic as a global health emergency. Therefore, medical professionals urgently need an early diagnosis method for this new type of disease as soon as possible. In this research work, a new early screening method for the investigation of COVID-19 pneumonia using chest CT scan images has been introduced作者: GEM 時間: 2025-3-27 04:47 作者: Aqueous-Humor 時間: 2025-3-27 09:07 作者: fertilizer 時間: 2025-3-27 12:46 作者: 女歌星 時間: 2025-3-27 17:37 作者: Vo2-Max 時間: 2025-3-27 21:12
Equality of Arms and Automatedly Generated Evidencentrusion into the individuals’ private life, for the purpose of investigation. Here the spotlight moves to the courtroom, where evidence is presented, discussed, challenged by the parties and evaluated by the court. In this scenario, reconstructing how evidence was generated is crucial to evaluate i作者: 手勢 時間: 2025-3-28 00:08 作者: 忍受 時間: 2025-3-28 04:59
