| A hybrid convolutional neural network approach for feature selection and disease classification | Prajna Paramita DEBETA, Puspanjali MOHAPATRA | 2580–2599 |
| Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold | Olusola Oluwakemi ABAYOMI-ALLI, Robertas DAMAŠEVIČIUS, Sanjay MISRA, Rytis MASKELIŪNAS, Adebayo ABAYOMI-ALLI | 2600–2614 |
| Brain tumor detection from MRI images with using proposed deep learning model: the partial correlation-based channel selection | Atınç YILMAZ | 2615–2633 |
| Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques | Baidaa AL-BANDER, Rwayda KH. S.AL-HAMD, Qahtan M. YAS, Hussain MAHDI | 2634–2648 |
| Employing deep learning architectures for image-based automatic cataract diagnosis | Ömer TÜRK, Erdoğan ALDEMİR, Ömer Faruk ERTUĞRUL, Emrullah ACAR | 2649–2662 |
| A deep transfer learning based model for automatic detection of COVID-19 from chest X-rays | Prateek CHHIKARA, Prakhar GUPTA, Prabhjot SINGH, Tarunpreet BHATIA | 2663–2679 |
| Attention-based end-to-end CNN framework for content-based X-ray image retrieval | Adi ALHUDHAİF, Kemal POLAT, Şaban ÖZTÜRK | 2680–2693 |
| Classification of P300 based brain computer interface systems using long short-term memory (LSTM) neural networks with feature fusion | Ali Osman SELVİ, Abdullah FERİKOĞLU, Derya GÜZEL ERDOĞAN | 2694–2715 |
| Deep learning-based COVID-19 detection system using pulmonary CT scans | Preeti SHARMA, Deepika KOUNDAL, Rumi Iqbal DOEWES, Rajit NAIR, Adi ALHUDHAIF | 2716–2727 |
| MRI based genomic analysis of glioma using three pathway deep convolutional neural network for IDH classification | Sonal GORE, Jayant JAGTAP | 2728–2741 |
| Leukocyte classification based on feature selection using extra trees classifier: a transfer learning approach | Diana BABY, Jude HEMANTH, Anishin Raj MM, Sujitha Juliet DEVARAJ |