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A Multi-Stage Hybrid Learning Model with Advanced Feature Fusion for Enhanced Prostate Cancer Classification. [PDF]
Diagnostics (Basel)Abd El-Ghany S, Abd El-Aziz AA.
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Enriched lung cancer classification approach using an optimized hybrid deep learning approach. [PDF]
Sci RepNaveenraj M, Vijayakumar P.
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Integrating Anatomical Site Information Into Vision Transformer Models for Skin Cancer Classification. [PDF]
Ann DermatolHa DL, Jeong S, Woo D, Cho J, Lee WJ.
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A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection. [PDF]
Sci RepAmrir MMS +3 more
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Dynamic-Attentive Pooling Networks: A Hybrid Lightweight Deep Model for Lung Cancer Classification. [PDF]
J ImagingAyivi W +4 more
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Breast Cancer Classification with Various Optimized Deep Learning Methods. [PDF]
Diagnostics (Basel)Güler M +4 more
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2023
Skin cancer is a common and dangerous form of cancer. This is a dangerous kind of cancer, and early detection is crucial for successful treatment. Malignant tumors develop when healthy, normal skin cells experience genetic alterations and begin to grow uncontrolled. An important risk factor for skin cancer is ultraviolet (UV) radiation from the sun and
Nikita Mali +3 more
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Skin cancer is a common and dangerous form of cancer. This is a dangerous kind of cancer, and early detection is crucial for successful treatment. Malignant tumors develop when healthy, normal skin cells experience genetic alterations and begin to grow uncontrolled. An important risk factor for skin cancer is ultraviolet (UV) radiation from the sun and
Nikita Mali +3 more
openaire +1 more source
Morphological classification of renal cancer
World Journal of Urology, 1995The current classification of renal-cell adenomas (RCAs) and carcinomas (RCCs) is based on eight basic cell and tumor types (entities) with characteristic morphologic features: (1) RCCs of clear-cell type, (2) RCAs/RCCs of chromophilic-cell type, (3) RCAs/RCCs of chromophobic-cell type, (4) RCCs of duct Bellini type, (5) RCCs of transitional-cell type,
STORKEL, S, VANDENBERG, E
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