Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Image analysis and machine learning in digital pathology: Challenges and opportunities.
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis
Histopathological image classification with bilinear convolutional neural networks
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning
Breast Cancer Histopathology Image Analysis: A Review
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.
Toward Automatic Mitotic Cell Detection and Segmentation in Multispectral Histopathological Images
Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports
Detecting Cancer Metastases on Gigapixel Pathology Images
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
A comparative study of CNN, BoVW and LBP for classification of histopathological images
Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
Weakly supervised histopathology cancer image segmentation and classification
A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation
Core Ontologies for Safe Autonomous Driving
Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones
Textural Features for Image Classification
Via-in-Trench: A Revolutionary Panel-Based Package RDL Configuration Capable of 200-450 IO/mm/Layer, an Innovation for More-Than-Moore System Integration
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations