Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imaging
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7820-5_28
Reference31 articles.
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2. Milletari, F., Ahmadi, S., Kroll, C., Plate, A., Rozanski, V.E., Maiostre, J., Levin, J., Dietrich, O., Ertl-Wagner, B., Bötzel, K., Navab, N.: Hough-CNN: deep learning for segmentation of deep brain regions in MRI and ultrasound. Comput. Vis. Image Underst.. Vis. Image Underst. 164, 92–102 (2017). https://doi.org/10.1016/j.cviu.2017.04.002
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4. Chaudhari, A., Bhatt, C., Krishna, A., Travieso, C.M.: Facial emotion recognition with inter-modality-attention-transformer-based self-supervised learning. Electronics 12(2), 288 (2023). https://doi.org/10.3390/electronics12020288
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