• Vineet Mehan

Medical image clustering is vital in medical image analysis, aiding pattern recognition and image grouping for diagnosis and treatment planning. We present an unsupervised method for brain MRI image clustering using Deep Convolutional Neural Networks (CNNs). Our aim is to automatically cluster brain MRI images meaningfully, without manual annotations. Our approach utilizes deep learning to create hierarchical representations of brain MRI images. A pre-trained CNN extracts features from raw MRI images, input to a hierarchical clustering algorithm, with a self-supervised strategy refining the process. Evaluation on diverse clinical MRI scans demonstrates the effectiveness of our deep neural network-based clustering, revealing relevant anatomical patterns and coherent clusters. We compare our method to traditional approaches, highlighting its superiority in clustering accuracy and other metrics. The proposed unsupervised approach holds promise for neuroimaging research applications, including disease classification and lesion detection. Our research introduces a novel neural network-based approach tailored for brain MRI image clustering, offering high accuracy, interpretability, and clinical potential for automated solutions in brain MRI analysis.

Unsupervised Medical Image Clustering, Deep Convolutional Neural Networks, Brain MRI Images, Image Analysis, Neuroimaging

"UNSUPERVISED MEDICAL IMAGE CLUSTERING USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR BRAIN MRI IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e361-e368, January-2024, Available :http://www.jetir.org/papers/JETIR2401443.pdf

"UNSUPERVISED MEDICAL IMAGE CLUSTERING USING DEEP CONVOLUTIONAL NEURAL NETWORKS FOR BRAIN MRI IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe361-e368, January-2024, Available at : http://www.jetir.org/papers/JETIR2401443.pdf