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MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images

arXiv — cs.CV•Wednesday, October 29, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new deep learning architecture called MSRANetV2 has been introduced to enhance the classification of colorectal histopathological images, addressing the critical need for accurate and timely detection of colorectal cancer. This advancement is significant as colorectal cancer remains a leading cause of cancer-related deaths globally. Traditional diagnostic methods often suffer from subjectivity and inefficiency, making this innovative approach a potential game-changer in improving patient outcomes and streamlining the diagnostic process.
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