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Knowledge distillation driven instance segmentation for ...
National Institutes of Health (NIH) (.gov)
https://pubmed.ncbi.nlm.nih.gov › ...
National Institutes of Health (NIH) (.gov)
https://pubmed.ncbi.nlm.nih.gov › ...
by T Hassan2022Cited by 12 — Across both datasets, the proposed scheme outperforms state-of-the-art methods by 2.01% and 4.45%, respectively, in terms of the mean IoU score for identifying ...
Knowledge distillation driven instance segmentation for ...
ScienceDirect.com
https://www.sciencedirect.com › science › article › pii
ScienceDirect.com
https://www.sciencedirect.com › science › article › pii
by T Hassan2022Cited by 12 — We present a novel knowledge distillation-based instance segmentation scheme that allows conventional semantic segmentation models to perform instance-aware ...
Knowledge distillation driven instance segmentation for ...
ResearchGate
https://www.researchgate.net › publication › 36392948...
ResearchGate
https://www.researchgate.net › publication › 36392948...
Oct 22, 2024 — Across both datasets, the proposed scheme outperforms state-of-the-art methods by 2.01% and 4.45%, respectively, in terms of the mean IoU score ...
Incremental Instance Segmentation for the Gleason ...
Semantic Scholar
https://www.semanticscholar.org › paper › Incremental-...
Semantic Scholar
https://www.semanticscholar.org › paper › Incremental-...
This paper proposes a novel knowledge distillation-driven instance segmentation framework that allows the traditional semantic segmentation models to grade ...
Muhammad Shafay
Google Scholar
https://scholar.google.com › citations
Google Scholar
https://scholar.google.com › citations
Co-authors ; Knowledge distillation driven instance segmentation for grading prostate cancer. T Hassan, M Shafay, B Hassan, MU Akram, A ElBaz, N Werghi.
Incremental Instance Segmentation for the Gleason Tissues ...
naoufelwerghi.com
https://naoufelwerghi.com › 2022_Hassan_ICoDT
naoufelwerghi.com
https://naoufelwerghi.com › 2022_Hassan_ICoDT
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This paper proposes a novel knowledge distillation-driven instance segmentation framework for extracting highly related. Gleason tissue instances from WSI scans ...
A Comparative Study of Mamba, SAM, and YOLO
arXiv
https://arxiv.org › html
arXiv
https://arxiv.org › html
Sep 28, 2024 — This study presents a comparative analysis of three deep learning-based methods, Mamba, SAM, and YOLO, for segmenting prostate cancer ...
Harnessing artificial intelligence for prostate cancer ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles › PMC11031422
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles › PMC11031422
by L Zhu2024Cited by 17 — AI has shown great potential in distinguishing between benign and malignant tumors, automated Gleason grading, and the prediction of clinical prognosis and ...
0000-0002-5515-6075 - Muhammad Shafay
ORCID
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ORCID
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Knowledge distillation driven instance segmentation for grading prostate cancer. Computers in Biology and Medicine. 2022 | Journal article.
Incremental Instance Segmentation for the Gleason ...
ResearchGate
https://www.researchgate.net › ... › Prostate Cancer
ResearchGate
https://www.researchgate.net › ... › Prostate Cancer
Knowledge distillation driven instance segmentation for grading prostate cancer. Article. Sep 2022; COMPUT BIOL MED. Taimur Hassan ...