Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Debdoot Sheet"'
Publikováno v:
IEEE Access, Vol 8, Pp 213502-213511 (2020)
Histopathological Whole Slide Imaging (WSI) has become a standard in the detection of breast cancer. Automated image analysis methods attempt to reduce the workload from the clinicians and Convolutional Neural Networks (CNNs) are a popular choice for
Externí odkaz:
https://doaj.org/article/72adafb5f3db4a79a4d94177a06f0e13
Autor:
Hrushikesh Tukaram Garud, Debdoot Sheet, Manjunatha Mahadevappa, Jyotirmoy Chatterjee, Ajoy Kumar Ray, Arindam Ghosh
Publikováno v:
Journal of Cytology, Vol 29, Iss 3, Pp 183-189 (2012)
Background: Methodical and meticulous understanding of clinico-pathological procedures and decision making process of cancer diagnosis and identification of aspects that are well-suited for computer-aided analysis are first steps toward development o
Externí odkaz:
https://doaj.org/article/d2019f2034cf438b98de82ab5cd976a3
Publikováno v:
Circuits, Systems, and Signal Processing. 42:643-682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9ff8fdcc78775f6d3c4308320919bb9
https://doi.org/10.1007/s00034-022-02222-0
https://doi.org/10.1007/s00034-022-02222-0
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6322fe22087d9b18aa77358f93d09e0
https://doi.org/10.1007/s11042-023-14575-y
https://doi.org/10.1007/s11042-023-14575-y
Traditional numerical solvers for linear algebra problems such as dictionary learning (DictL) operating on large data face challenges because of super-linear computational complexity and massive memory requirement. This does not make it easily solvab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c32bff9c5fdbc337975f84ffddfedc
https://doi.org/10.36227/techrxiv.21988181
https://doi.org/10.36227/techrxiv.21988181
Autor:
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2023, ⟨10.1016/j.media.2023.102803⟩
Medical Image Analysis, 2023, ⟨10.1016/j.media.2023.102803⟩
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works recognize surgical activities at a coarse-grained level, such as phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9feb55ecb6a8080970ea727ab3d891db
https://hal.science/hal-03938852
https://hal.science/hal-03938852
Autor:
Abhishek Kumar, Debdoot Sheet
Publikováno v:
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0051fab24af0fdb6f96fb69a17430745
https://doi.org/10.1145/3571600.3571627
https://doi.org/10.1145/3571600.3571627
Publikováno v:
J Oral Biol Craniofac Res
Purpose Sweptsource optical coherence tomography (SS-OCT) permits cross-sectional observation of surface/subsurface characteristics of enamel including early carious lesions (ECL) or remineralization non-invasively.This study aimed to visually compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6421468b3c57075b3acc5f9cd83b60b7
https://doi.org/10.1016/j.jobcr.2021.09.006
https://doi.org/10.1016/j.jobcr.2021.09.006
Autor:
Qihan Yang, Somesh Kumar, Qiaoyong Zhong, Fan Feng, Liang Ma, Qi She, Siew-Kei Lam, Gabriele Graffieti, German Ignacio Parisi, Yangsheng Xu, Baoquan Chen, Tin Lun Lam, Eoin Brophy, Chuanlin Lan, Vidit Goel, Lin Yang, Qi Liu, Rosa H. M. Chan, Debdoot Sheet, Shiliang Pu, Di Xie, Lorenzo Pellegrini, Hyonyoung Han, Liguang Zhou, Vincenzo Lomonaco, Zhengwei Wang, Soonyong Song, Davide Maltoni, Heechul Bae, Jianwen Wu, Xinyue Hao, Tomas E. Ward, Duvindu Piyasena, Sathursan Kanagarajah, Meiqing Wu, Young-Sung Son
Publikováno v:
IEEE Robotics & Automation Magazine. 27:11-16
Humans have a remarkable ability to learn continuously from th e environment and inner experience. One of the grand goals of robots is to build an artificial "lifelong learning" agent that can shape a cultivated understanding of the world from the cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ea5e8210ef6c78f2ba2436e0e0d4c1
https://doi.org/10.1109/mra.2020.2987186
https://doi.org/10.1109/mra.2020.2987186
Publikováno v:
Multimedia Tools and Applications. 79:11237-11268
Detecting and localizing anomalous behavior in the surveillance video is explored and spatiotemporal model, which jointly learns the appearance and motion-based feature is proposed. The general solution is to learn from the normal-data as reference m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::469ab4546e95a82789aa80b1f2621ee8
https://doi.org/10.1007/s11042-020-08786-w
https://doi.org/10.1007/s11042-020-08786-w