manju dabass

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Publications (15)

• An Atrous Convolved Hybrid Seg-Net Model with residual and attention mechanism for gland detection and segmentation in histopathological images
  Computers in Biology and Medicine 2023 DOI: 10.1016/j.compbiomed.2023.106690
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• A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images
  Intelligence-Based Medicine 2023 DOI: 10.1016/j.ibmed.2023.100094
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• MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2022.106095
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• A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2022.105680
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• Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images
  Informatics in Medicine Unlocked 2021 DOI: 10.1016/j.imu.2021.100784
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• Denoising, Edge Correction, and Enhancement of Breast Cancer Ultrasound Images
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-5341-7_88
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• Preprocessing Techniques for Colon Histopathology Images
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-5341-7_85
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• Segmentation of Noisy Mammograms Using Hybrid Techniques
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-5341-7_104
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• Automated Mucous Glands Detection and Segmentation in Colon Histology Images Using Semantic Segmentation
  Communications in Computer and Information Science 2020 DOI: 10.1007/978-981-15-5830-6_27
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• Effect Analysis of Contrast Enhancement Techniques on Cancer Classification in Colon Histopathology Images Using Machine Learning
  Communications in Computer and Information Science 2020 DOI: 10.1007/978-981-15-5827-6_9
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