1469 | -- | 1479 | Tong Wang, Fubin Wu, Haoran Lu, Shengzhou Xu. CA-UNet: Convolution and attention fusion for lung nodule segmentation |
1480 | -- | 1493 | Hakan Özcan. BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features |
1494 | -- | 1504 | Seenia Francis, P. B. Jayaraj, P. N. Pournami, Niyas Puzhakkal. ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network |
1505 | -- | 1514 | Majid Vafaeezadeh, Hamid Behnam, Ali Hosseinsabet, Parisa Gifani. CarpNet: Transformer for mitral valve disease classification in echocardiographic videos |
1515 | -- | 1530 | Jian Chen, Jiaze Wan, Zhenghan Fang, Lifang Wei. LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation |
1531 | -- | 1548 | Shen Jiang, Jinjiang Li, Zhen Hua. GR-Net: Gated axial attention ResNest network for polyp segmentation |
1549 | -- | 1560 | Yonggong Ren, Wenqiang Xu, Yuanxin Mao, Yuechu Wu, Bo Fu, Dang N. H. Thanh. Few-shot learning for dermatological conditions with Lesion Area Aware Swin Transformer |
1561 | -- | 1576 | Hui Wang, Qianqian Qi, Weijia Sun, Xue Li, Boxin Dong, Chunli Yao. Classification of skin lesions with generative adversarial networks and improved MobileNetV2 |
1577 | -- | 1592 | Shweta Tyagi, Sanjay N. Talbar. Predicting lung cancer treatment response from CT images using deep learning |
1593 | -- | 1605 | Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri. A deep conventional neural network model for glioma tumor segmentation |
1606 | -- | 1620 | J. Sofia Bobby, B. Suresh Chander Kapali, Ushus S. Kumar, M. A. Femina. QCBO-WSVM: Quantum chaos butterfly optimization-based weighted support vector machine for neuropathic pain detection from EEG signal |
1621 | -- | 1633 | Maria Naz, Munam Ali Shah, Hasan Ali Khattak, Abdul Wahid, Muhammad Nabeel Asghar, Hafiz Tayyab Rauf, Muhammad Attique Khan, Zoobia Ameer. Multi-branch sustainable convolutional neural network for disease classification |
1634 | -- | 1646 | Mengdan Cheng, Juan Qin, Lianrong Lv, Biao Wang, Lei Li, Dan Xia, Shike Wang. A dual channel and spatial attention network for automatic spine segmentation of MRI images |
1647 | -- | 1660 | Razieh Ganjee, Mohsen Ebrahimi Moghaddam, Ramin Nourinia. A generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD-OCT images |
1661 | -- | 1671 | Esraa Asem Shaker, Ahmed S. El-Hossiny, Ahmed Hisham Kandil, Ahmed Elbialy, Heba M. Afify. Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches |
1672 | -- | 1681 | Sheng-Sheng Wang 0001, Zihao Fu, Bilin Wang, Yulong Hu. Fusing feature and output space for unsupervised domain adaptation on medical image segmentation |
1682 | -- | 1695 | V. Swetha, G. Vadivu. Classifications of benign and malignant mammogram images using Gabor-modified CNN architecture |
1696 | -- | 1712 | Shankar Thawkar, Vijay Katta, Ajay Raj Parashar, Law Kumar Singh, Munish Khanna. Breast cancer: A hybrid method for feature selection and classification in digital mammography |
1713 | -- | 1726 | Zuzheng Chang, Dragan Rodriguez. Optimized lung cancer detection by amended whale optimizer and rough set theory |
1727 | -- | 1744 | Evgin Göçeri. Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets |
1745 | -- | 1766 | Sahar Gull, Shahzad Akbar, Syed Muhammad Naqi. A deep learning approach for multi-stage classification of brain tumor through magnetic resonance images |
1767 | -- | 1778 | Jiffy Joseph, Aparajit Singh, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan, Niyas Puzhakkal. Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function |
1779 | -- | 1795 | Gulhan Kilicarslan, Canan Koc, Fatih Özyurt, Yeliz Gul. Breast lesion classification using features fusion and selection of ensemble ResNet method |
1796 | -- | 1813 | Shree Prakash, Jagadeesh Kakarla. Three level automatic segmentation of optic disc using LAB color space contours and morphological operation |
1814 | -- | 1826 | Devanand Ongole, S. Saravanan. Colour-based segmentation using FCM and K-means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure |