Nor Aniza Azmi
Radiology, Nuclear Medicine and Imaging · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 20 citations into it
- Pulmonary and Respiratory Medicine — 5 citations into it
Whom Nor Aniza Azmi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kunio Doi (in Radiology, Nuclear Medicine and Imaging)
Papers from Nor Aniza Azmi's perspective
Ordered by how strongly the researchers Nor Aniza Azmi trusts endorse each paper. Same corpus, a different order for every researcher.
- A Dataset for Breast Cancer Histopathological Image Classification
- Breast cancer histopathological image classification using Convolutional Neural Networks (IEEE International Joint Conference on Neural Network)
- Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
- A survey on deep learning in medical image analysis
- What is the best multi-stage architecture for object recognition?
- Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
- Deep features for breast cancer histopathological image classification (IEEE International Conference on Systems, Man and Cybernetics)
- Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (Scientific Reports)
- Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features (Journal of Medical Imaging)
- A method for normalizing histology slides for quantitative analysis (IEEE International Symposium on Biomedical Imaging)