[HTML][HTML] CaMeL-Net: centroid-aware metric learning for efficient multi-class cancer classification in pathology images
J Lee, C Han, K Kim, GH Park, JT Kwak - Computer Methods and Programs …, 2023 - Elsevier
Background and objective Cancer grading in pathology image analysis is a major task due
to its importance in patient care, treatment, and management. The recent developments in …
to its importance in patient care, treatment, and management. The recent developments in …
Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images
Y Feng, CC Atabansi, J Nie, H Liu, H Zhou… - Biocybernetics and …, 2023 - Elsevier
Prostate cancer is one of the most commonly diagnosed non-cutaneous malignant tumors
and the sixth major cause of cancer-related death generally found in men globally …
and the sixth major cause of cancer-related death generally found in men globally …
Prostate cancer grade using self-supervised learning and novel feature aggregator based on weakly-labeled gbit-pixel pathology images
M Liang, C Hao, G Ming - Applied Intelligence, 2024 - Springer
Prostate cancer (PCa) is the second most common cancer in men worldwide. The Gleason
score, determined by pathologists through microscopic examination of pathological tissue, is …
score, determined by pathologists through microscopic examination of pathological tissue, is …
[引用][C] Καρκινικοί βιοδείκτες και η συμβολή τους στην εξατομικευμένη θεραπεία του καρκίνου
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