Alle Papers – KI in der Krebserkennung

CaraNet: context axial reverse attention network for segmentation of small medical objects

Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors

Computerized detection of clustered microcalcifications in digital mammograms using a shift‐invariant artificial neural network

Breast carcinoma with basal differentiation: a proposal for pathology definition based on basal cytokeratin expression

Attention Dense-U-Net for Automatic Breast Mass Segmentation in Digital Mammogram

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Unsupervised Segmentation Based on Robust Estimation and Color Active Contour Models

An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images

US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised

Raman spectroscopy for cancer detection and cancer surgery guidance: translation to the clinics

CAD and AI for breast cancer—recent development and challenges

Whole-Slide Imaging Digital Pathology as a Platform for Teleconsultation: A Pilot Study Using Paired Subspecialist Correlations

Fuzzy Local Binary Patterns for Ultrasound Texture Characterization

Code-free deep learning for multi-modality medical image classification

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks

Performance Evaluation of Machine Learning Methods for Breast Cancer Prediction

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Interpretation and visualization techniques for deep learning models in medical imaging

Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening

Clinical, mammographic, and sonographic determination of preoperative breast cancer size

A novel hybrid deep learning method for early detection of lung cancer using neural networks

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification