Jadoon et al., 2017
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Jadoon et al. | Three‐class mammogram classification based on descriptive CNN features | |
| Nahid et al. | Involvement of machine learning for breast cancer image classification: a survey | |
| Khan et al. | Lungs nodule detection framework from computed tomography images using support vector machine | |
| Mahmood et al. | A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities | |
| Bhatt et al. | State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review | |
| Agnes et al. | Classification of mammogram images using multiscale all convolutional neural network (MA-CNN) | |
| Li et al. | Benign and malignant classification of mammogram images based on deep learning | |
| Demyanov et al. | Classification of dermoscopy patterns using deep convolutional neural networks | |
| Pratiwi et al. | Mammograms classification using gray-level co-occurrence matrix and radial basis function neural network | |
| Ganesan et al. | Computer-aided breast cancer detection using mammograms: a review | |
| Wang et al. | Pathological brain detection via wavelet packet tsallis entropy and real-coded biogeography-based optimization | |
| Bakkouri et al. | Multi-scale CNN based on region proposals for efficient breast abnormality recognition | |
| Tang et al. | Computer-aided detection and diagnosis of breast cancer with mammography: recent advances | |
| Oyelade et al. | A state-of-the-art survey on deep learning methods for detection of architectural distortion from digital mammography | |
| Görgel et al. | Computer‐aided classification of breast masses in mammogram images based on spherical wavelet transform and support vector machines | |
| Suresh et al. | NROI based feature learning for automated tumor stage classification of pulmonary lung nodules using deep convolutional neural networks | |
| Jian et al. | Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform | |
| Bakkouri et al. | Breast tumor classification based on deep convolutional neural networks | |
| Mednikov et al. | Transfer representation learning using Inception-V3 for the detection of masses in mammography | |
| Zhang et al. | A novel algorithm for breast mass classification in digital mammography based on feature fusion | |
| Lee et al. | Is intensity inhomogeneity correction useful for classification of breast cancer in sonograms using deep neural network? | |
| Naik et al. | Lung nodule classification on computed tomography images using fractalnet | |
| Sivasankaran et al. | Lung Cancer Detection Using Image Processing Technique Through Deep Learning Algorithm. | |
| El-Shafai et al. | Efficient classification of different medical image multimodalities based on simple CNN architecture and augmentation algorithms | |
| Singh et al. | SVM based system for classification of microcalcifications in digital mammograms |