A deep learning ICDNET architecture for efficient classification of histopathological cancer cells using Gaussian noise images
Histopathology image classification is crucial in pathological diagnosis workflow for early detection and treatment. The integration of deep learning technology has greatly improved diagnostic accuracy and efficiency. However, there are limitations when morphological features are not obvious in path...
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Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012468 |
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