Saha M - Search Results

1

An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.

Saha M, Chakraborty C, Arun I, Ahmed R, Chatterjee S. Saha M, et al. Sci Rep. 2017 Jun 12;7(1):3213. doi: 10.1038/s41598-017-03405-5. Sci Rep. 2017. PMID: 28607456 Free PMC article.

2

Computer-aided diagnosis of breast cancer using cytological images: A systematic review.

Saha M, Mukherjee R, Chakraborty C. Saha M, et al. Tissue Cell. 2016 Oct;48(5):461-74. doi: 10.1016/j.tice.2016.07.006. Epub 2016 Jul 30. Tissue Cell. 2016. PMID: 27528421 Review.

3

Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma.

Banerjee S, Saha M, Arun I, Basak B, Agarwal S, Ahmed R, Chatterjee S, Mahanta LB, Chakraborty C. Banerjee S, et al. Among authors: saha m. J Med Syst. 2017 Aug 10;41(9):144. doi: 10.1007/s10916-017-0792-6. J Med Syst. 2017. PMID: 28799130

4

Efficient deep learning model for mitosis detection using breast histopathology images.

Saha M, Chakraborty C, Racoceanu D. Saha M, et al. Comput Med Imaging Graph. 2018 Mar;64:29-40. doi: 10.1016/j.compmedimag.2017.12.001. Epub 2017 Dec 16. Comput Med Imaging Graph. 2018. PMID: 29409716

5

Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation.

Saha M, Chakraborty C. Saha M, et al. IEEE Trans Image Process. 2018 May;27(5):2189-2200. doi: 10.1109/TIP.2018.2795742. IEEE Trans Image Process. 2018. PMID: 29432100

6

Quantitative microscopic evaluation of mucin areas and its percentage in mucinous carcinoma of the breast using tissue histological images.

Saha M, Arun I, Basak B, Agarwal S, Ahmed R, Chatterjee S, Bhargava R, Chakraborty C. Saha M, et al. Tissue Cell. 2016 Jun;48(3):265-73. doi: 10.1016/j.tice.2016.02.005. Epub 2016 Feb 26. Tissue Cell. 2016. PMID: 26971129

7

Nanoscale Surface Characterization of Human Erythrocytes by Atomic Force Microscopy: A Critical Review.

Mukherjee R, Saha M, Routray A, Chakraborty C. Mukherjee R, et al. Among authors: saha m. IEEE Trans Nanobioscience. 2015 Sep;14(6):625-33. doi: 10.1109/TNB.2015.2424674. Epub 2015 Apr 28. IEEE Trans Nanobioscience. 2015. PMID: 25935044 Review.

8

Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset.

Sadasivuni S, Saha M, Bhatia N, Banerjee I, Sanyal A. Sadasivuni S, et al. Among authors: saha m. Sci Rep. 2022 Apr 5;12(1):5711. doi: 10.1038/s41598-022-09712-w. Sci Rep. 2022. PMID: 35383233 Free PMC article.

9

AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3D computed tomography imaging.

Saha M, Amin SB, Sharma A, Kumar TKS, Kalia RK. Saha M, et al. PLoS One. 2022 Mar 14;17(3):e0263916. doi: 10.1371/journal.pone.0263916. eCollection 2022. PLoS One. 2022. PMID: 35286309 Free PMC article.

10

TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification.

Saha M, Guo X, Sharma A. Saha M, et al. IEEE Access. 2021;9:79829-79840. doi: 10.1109/access.2021.3084597. Epub 2021 May 28. IEEE Access. 2021. PMID: 34178560 Free PMC article.

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