Alle Papers – KI in der Krebserkennung

Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI – LIME & SHAP

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI

Computer‐aided breast MR image feature analysis for prediction of tumor response to chemotherapy

Feature‐based rectal contour propagation from planning CT to cone beam CT

Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software

Intelligent Segmentation and Classification of Pigmented Skin Lesions in Dermatological Images

AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images

Machine Learning based System for Prediction of Breast Cancer Severity

Deep learning links histology, molecular signatures and prognosis in cancer

Computer-aided Classification of Liver Lesions from CT Images Based on Multiple ROI

RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation

Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease

Computational Intelligence for Medical Imaging Simulations

Digital Biopsy with Fluorescence Confocal Microscope for Effective Real-time Diagnosis of Prostate Cancer: A Prospective, Comparative Study

Accurate Nodal Staging of Malignant Melanoma

A Proposed Design and Analysis for Comparing Digital and Analog Mammography

Understanding the mechanisms creating false positive lumpectomy margins

A Machine Learning-based Diagnosis of Thyroid Cancer Using Thyroid Nodules Ultrasound Images

Digital storage of echocardiograms offers superior image quality to analog storage, even with 20:1 digital compression: Results of the digital echo record access study

Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images

AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes