Behara et al., 2022
ViewHTML| Publication | Publication Date | Title |
|---|---|---|
| Ahammed et al. | A machine learning approach for skin disease detection and classification using image segmentation | |
| Rahaman et al. | DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques | |
| Dharmawan et al. | A new hybrid algorithm for retinal vessels segmentation on fundus images | |
| Javidi et al. | Vessel segmentation and microaneurysm detection using discriminative dictionary learning and sparse representation | |
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| US20220343178A1 (en) | Method and system for performing non-invasive genetic testing using an artificial intelligence (ai) model | |
| Vij et al. | A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification | |
| Admass et al. | Convolutional neural networks and histogram-oriented gradients: a hybrid approach for automatic mango disease detection and classification | |
| Behara et al. | Artificial intelligence in medical diagnostics: A review from a South African context | |
| Salama et al. | Enhancing medical image quality using neutrosophic fuzzy domain and multi-level enhancement transforms: A comparative study for leukemia detection and classification | |
| Tavakoli et al. | Detection of abnormalities in mammograms using deep features | |
| Veluchamy et al. | Brain tissue segmentation for medical decision support systems | |
| Bose et al. | Detection of microcalcification in mammograms using soft computing techniques | |
| CN117831749A (en) | Fundus lesion data processing method, device, equipment and storage medium | |
| Abdulla et al. | Breast cancer segmentation using K-means clustering and optimized region-growing technique | |
| Derwin et al. | Discrimination of microaneurysm in color retinal images using texture descriptors | |
| Kaur et al. | Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images | |
| Sreelekshmi et al. | Variational auto encoders for improved breast cancer classification | |
| Mamilla et al. | Extraction of microaneurysms and hemorrhages from digital retinal images | |
| Mohan et al. | MRI Brain Tumor Detection and Classification Using U-NET CNN | |
| Mirjat et al. | A framework for guava wilt disease segmentation using k-means clustering and neural network techniques | |
| Ramprasad et al. | Hierarchical agglomerative clustering-based skin lesion detection with region based neural networks classification | |
| Prem et al. | Classification of exudates for diabetic retinopathy prediction using machine learning | |
| Suman et al. | Automatic grading of non-proliferative diabetic retinopathy | |
| Taha et al. | Deep learning for malaria diagnosis: Leveraging convolutional neural networks for accurate parasite detection |