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Disambiguation of "Chaudhury, Baishali"

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Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction.

, , , , , , and . SMC, page 2624-2629. IEEE, (2014)

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R Chaudhury

Shameem Chaudhury

Uta Chaudhury

Shameem Kabir Chaudhury

 

Other publications of authors with the same name

Boosting computer vision performance by enhancing camera ISP., , , and . Autonomous Vehicles and Machines, page 1-8. Society for Imaging Science and Technology, (2021)Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850T. SPIE, (2016)Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images., , , , , , and . SMC, page 870-875. IEEE, (2014)Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction., , , , , , and . SMC, page 2624-2629. IEEE, (2014)Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851H. SPIE, (2016)Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941415. SPIE, (2015)New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351V. SPIE, (2014)An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer., , , , , , and . ICIAP (1), volume 8156 of Lecture Notes in Computer Science, page 823-832. Springer, (2013)Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors., , , , , and . SMC, page 2164-2169. IEEE, (2015)Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94141U. SPIE, (2015)