Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic by Trong-Thuan Nguyen, Tam V. Nguyen, Minh-Triet Tran

Subjects: “…Medical image classification…”
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TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification by V. A. Ashwath, O. K. Sikha, Raul Benitez

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Comparative Analysis of Conventional CNN v’s ImageNet Pretrained ResNet in Medical Image Classification by Christos Raptis, Efstratios Karavasilis, George Anastasopoulos, Adam Adamopoulos

Subjects: “…medical image classification…”
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Counteracting Data Bias and Class Imbalance—Towards a Useful and Reliable Retinal Disease Recognition System by Adam R. Chłopowiec, Konrad Karanowski, Tomasz Skrzypczak, Mateusz Grzesiuk, Adrian B. Chłopowiec, Martin Tabakov

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Eff-PCNet: An Efficient Pure CNN Network for Medical Image Classification by Wenwen Yue, Shiwei Liu, Yongming Li

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Attentive Octave Convolutional Capsule Network for Medical Image Classification by Hong Zhang, Zhengzhen Li, Hao Zhao, Zan Li, Yanping Zhang

Subjects: “…medical image classification…”
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Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs by Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

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Semi-Supervised Learning for Medical Image Classification Based on Anti-Curriculum Learning by Hao Wu, Jun Sun, Qi You

Subjects: “…medical image classification…”
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CRANet: a comprehensive residual attention network for intracranial aneurysm image classification by Yawu Zhao, Shudong Wang, Yande Ren, Yulin Zhang

Subjects: “…Medical image classification…”
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Medical Image Classification Using a Light-Weighted Hybrid Neural Network Based on PCANet and DenseNet by Zhiwen Huang, Xingxing Zhu, Mingyue Ding, Xuming Zhang

Subjects: “…Medical image classification…”
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TransMed: Transformers Advance Multi-Modal Medical Image Classification by Yin Dai, Yifan Gao, Fayu Liu

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Auxiliary meta-learning strategy for cancer recognition: leveraging external data and optimized feature mapping by Kang Wang, Xihong Fei, Lei Su, Tian Fang, Hao Shen

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HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach by Kamran Kowsari, Rasoul Sali, Lubaina Ehsan, William Adorno, Asad Ali, Sean Moore, Beatrice Amadi, Paul Kelly, Sana Syed, Donald Brown

Subjects: “…hierarchical medical image classification…”
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Data-driven AI platform for dens evaginatus detection on orthodontic intraoral photographs by Ruiyang Ren, Jialing Liu, Shihao Li, Xiaoyue Wu, Xingchen Peng, Wen Liao, Zhihe Zhao

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Classification of clinical skin lesions with double-branch networks by Hui Wang, Qianqian Qi, Weijia Sun, Xue Li, Chunli Yao

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On the role of deep learning model complexity in adversarial robustness for medical images by David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan, Yufei Huang

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An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification by Mei-Ling Huang, Zong-Bin Huang

Subjects: “…medical image classification…”
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Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model by Amira Soliman, Jose R. Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, the Alzheimer’s Disease Neuroimaging Initiative, Miguel Ochoa-Figueroa

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Batch Similarity Based Triplet Loss Assembled into Light-Weighted Convolutional Neural Networks for Medical Image Classification by Zhiwen Huang, Quan Zhou, Xingxing Zhu, Xuming Zhang

Subjects: “…medical image classification…”
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Rethinking model prototyping through the MedMNIST+ dataset collection by Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, Christian Ledig

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