Search Results - "Ameer, P.M."

Brain tumor classification using deep CNN features via transfer learning by Deepak, S., Ameer, P.M.

“…Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical applications. This paper focuses on a 3-class classification…”
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Localization and recognition of leukocytes in peripheral blood: A deep learning approach by Reena, M. Roy, Ameer, P.M.

“…Automatic recognition and classification of leukocytes helps medical practitioners to diagnose various blood-related diseases by analysing their percentages…”
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Brain tumor categorization from imbalanced MRI dataset using weighted loss and deep feature fusion by Deepak, S., Ameer, P.M.

“…Deep learning-based brain tumor classification from brain magnetic resonance imaging (MRI) is a significant research problem. The research problem encounters a…”
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Segmentation of leukocyte by semantic segmentation model: A deep learning approach by M.Roy, Reena, P.M., Ameer

“…•DeepLab architecture is used to segment leukocytes from microscopic blood images.•It has a higher mean accuracy of 96.1% and a mean intersectionover-union of…”
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MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network by U, Nimitha, P.M., Ameer

“…Challenges arise in achieving high-resolution Magnetic Resonance Imaging (MRI) to improve disease diagnosis accuracy due to limitations in hardware, patient…”
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Retrieval of brain MRI with tumor using contrastive loss based similarity on GoogLeNet encodings by Deepak, S., Ameer, P.M.

“…An image retrieval system for medical images aids in disease diagnosis by providing similar images from the medical database to a query image. In this article,…”
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A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach by Reena, M. Roy, Ameer, P.M.

“…Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers diagnosed each year. Lymphoma is a condition that is difficult to…”
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An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data by Nidheesh, N., Abdul Nazeer, K.A., Ameer, P.M.

“…Clustering algorithms with steps involving randomness usually give different results on different executions for the same dataset. This non-deterministic…”
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Analysis of Network Architectures for Zigbee Sensor Clusters by Ameer, P.M., Kumar, A., Manjunath, D., Boyina, R.

“…We provide a comparative performance analysis of network architectures for beacon enabled Zigbee sensor clusters using the CSMA/CA MAC denned in the IEEE…”
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