Transfer Learning With Adam Gold Rush Optimization for Endometrial Disease Classification Using Histopathological Image
Sign Up to like & getrecommendations! Published in 2025 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.70027
Abstract: Uterine cancer also referred to as endometrial cancer, which significantly impacts the female reproductive organs. The early diagnosis increases the survival rates and also prevents the progression of endometrial cancer thereby, the novel Transfer Learning… read more here.
Keywords: cancer; gold rush; histopathological image; endometrial cancer ... See more keywords
Histopathological Image Analysis and Enhanced Diagnostic Accuracy Explainability for Oral Cancer Detection
Sign Up to like & getrecommendations! Published in 2025 at "Cancer Investigation"
DOI: 10.1080/07357907.2025.2559103
Abstract: Abstract Deep learning (DL) has transformed medical imaging, particularly in the realm of Oral Cancer (OC) diagnosis using histopathological images. Timely detection of OC is essential for enhancing precision medicine and saving lives. However, incorrect… read more here.
Keywords: image analysis; cancer; oral cancer; histopathological image ... See more keywords
FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3410929
Abstract: Histopathological image classification constitutes a pivotal task in computer-aided diagnostics. The precise identification and categorization of histopathological images are of paramount significance for early disease detection and treatment. In the diagnostic process of pathologists, a… read more here.
Keywords: classification; image classification; histopathological image; deep neural ... See more keywords
Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques
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DOI: 10.3390/app14052063
Abstract: Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster and more accurate cancer diagnosis. Stain… read more here.
Keywords: content; histopathological image; cbhir; image retrieval ... See more keywords
Optimization of Deep Learning Network Parameters Using Uniform Experimental Design for Breast Cancer Histopathological Image Classification
Sign Up to like & getrecommendations! Published in 2020 at "Diagnostics"
DOI: 10.3390/diagnostics10090662
Abstract: Breast cancer, a common cancer type, is a major health concern in women. Recently, researchers used convolutional neural networks (CNNs) for medical image analysis and demonstrated classification performance for breast cancer diagnosis from within histopathological… read more here.
Keywords: cancer; classification; histopathological image; breast cancer ... See more keywords