Brain Tumor Segmentation through Watershed Transformation von JAIN, DINESH CHANDRA, Zulpe, N S, Pawar, Dr V P

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Statistical approach for MRI Brain Tumor Quantification von Zulpe, N S, Chowhan, S S, Pawar, V P

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Review on Brain Tumor Segmentation and Classification Techniques von N S Zulpe, V P Pawar

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An optimized deep learning based depthwise separable MobileNetV3 approach for automatic finger vein recognition system von Deshmukh, Sambhaji Vamanrao, Zulpe, Nitish Shankar

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BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks von Afshar, Parnian, Mohammadi, Arash, Plataniotis, Konstantinos N.

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Statistical representation models for mutation information within genomic data von Özcan Şimşek, N Özlem, Özgür, Arzucan, Gürgen, Fikret

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Hybrid optimization enabled DenseNet for autism spectrum disorders using MRI image von Ulaganathan, Sakthi, Harshavardhanan, Pon, Ganapathi Raju, N.V., Parthasarathy, G.

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Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study von Tang, Tien T., Zawaski, Janice A., Francis, Kathleen N., Qutub, Amina A., Gaber, M. Waleed

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CLBO: chef leader-based optimization enabled deep learning for tuberculosis detection using x-ray images von Roopa, N. K., Mamatha, G. S.

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Gaussian hybrid fuzzy clustering and radial basis neural network for automatic brain tumor classification in MRI images von Sathish, P., Elango, N. M.

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QR image feature extraction effectiveness based on metrics using spectral clustering and grey level Co-Occurrence matrix algorithm von Sandha, R., Kirubanandasarathy, N.

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Robust Influence-Based Training Methods for Noisy Brain MRI von Van, Minh-Hao, Carey, Alycia N., Wu, Xintao

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Safety and efficacy of Wharton's jelly‐derived mesenchymal stem cells with teriparatide for osteoporotic vertebral fractures: A phase I/IIa study von Shim, JeongHyun, Kim, Kyoung‐Tae, Kim, Kwang Gi, Choi, Un‐Yong, Kyung, Jae Won, Sohn, Seil, Lim, Sang Heon, Choi, Hyemin, Ahn, Tae‐Keun, Choi, Hye Jeong, Shin, Dong‐Eun, Han, Inbo

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Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey von Muhammad, Khan, Khan, Salman, Ser, Javier Del, Albuquerque, Victor Hugo C. de

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Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images von Islam, Moinul, Reza, Md. Tanzim, Kaosar, Mohammed, Parvez, Mohammad Zavid

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LMNS-Net: Lightweight Multiscale Novel Semantic-Net deep learning approach used for automatic pancreas image segmentation in CT scan images von Paithane, Pradip, Kakarwal, Sangeeta

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Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging von Zhao, Xun, Yan, Ye, Xie, Wanfang, Qin, Zijian, Zhao, Litao, Liu, Cheng, Zhang, Shudong, Liu, Jiangang, Ma, Lulin

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Glioma detection on brain MRIs using texture and morphological features with ensemble learning von Gupta, Nidhi, Bhatele, Pushpraj, Khanna, Pritee

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A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms von Başaran, Erdal

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Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition von Cheng, Jun, Huang, Wei, Cao, Shuangliang, Yang, Ru, Yang, Wei, Yun, Zhaoqiang, Wang, Zhijian, Feng, Qianjin

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