Alle Papers – KI in der Krebserkennung

Skin lesion segmentation using deep convolution networks guided by local unsupervised learning

Lightweight convolutional neural network with knowledge distillation for cervical cells classification

Teleradiology/Telepathology requirements and implementation

Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

Segmentation of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms

Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system

Computer-aided diagnosis in mammography: classification of mass and normal tissue by texture analysis

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research

Skin lesion classification enhancement using border-line features – The melanoma vs nevus problem

DeepLRHE: A Deep Convolutional Neural Network Framework to Evaluate the Risk of Lung Cancer Recurrence and Metastasis From Histopathology Images

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images

Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery

DCENSnet: A new deep convolutional ensemble network for skin cancer classification

Diagnostic Accuracy of Virtual Pathology vs Traditional Microscopy in a Large Dermatopathology Study

Accuracy of and reasons for frozen sections: A correlative, retrospective study

Down Syndrome Diagnosis Based on Gabor Wavelet Transform

Artificial intelligence in veterinary diagnostic imaging: A literature review

Time to Diagnosis and Performance Levels during Repeat Interpretations of Digital Breast Tomosynthesis

Detection of skin tumor boundaries in color images

Texture analysis in radiology: Does the emperor have no clothes?

Novel coarse-to-fine dual scale technique for tuberculosis cavity detection in chest radiographs

Characterization of Benign and Malignant Solid Breast Masses: Comparison of Conventional US and Tissue Harmonic Imaging

Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias

Trends in breast biopsy pathology diagnoses among women undergoing mammography in the United States: A report from the Breast Cancer Surveillance Consortium

Parallel deep solutions for image retrieval from imbalanced medical imaging archives