전체 논문 (12편 · 1/1)
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Hybrid neutrosophic enhanced MobileNetV2 model for leukemia blood cell classification.
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Deep learning for detecting early gastric cancer with white-light endoscopy: a systematic review and meta-analysis.
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GAN-based bone suppression using a combined loss function.
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Explainable multi-modal deep learning for transparent cancer diagnosis: integrating radiology, clinical features, and decision visualization.
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Transformers meet CNNs for insights into breast mass classification from histopathological images.
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Radiomics-integrated machine learning framework for quantitative breast cancer diagnosis.
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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training.
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A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology.
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Evaluating XAI techniques under class imbalance using CPRD data.
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Predicting and identifying correlates of inequalities in breast cancer screening uptake using national level data from India.
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HED-Net: a hybrid ensemble deep learning framework for breast ultrasound image classification.
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Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with -altered solid tumors.