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Disambiguation of "King, Lorraine M."

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DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence.

, , , , , , , , , , , , , , , and . AIIIMA/MIABID@MICCAI, volume 13602 of Lecture Notes in Computer Science, page 164-175. Springer, (2022)

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Lorraine Rispal

Lorraine Duffy

Lorraine Bluche

Lorraine Bluche

Lorraine Perronnet

 

Other publications of authors with the same name

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence., , , , , , , , , and 6 other author(s). AIIIMA/MIABID@MICCAI, volume 13602 of Lecture Notes in Computer Science, page 164-175. Springer, (2022)Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks., , , , , , , , and . ISBI, page 1-5. IEEE, (2022)Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning., , , , , , , , , and . Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105752R. SPIE, (2018)Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features., , , , , , , , and . Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750R. SPIE, (2018)Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?, , , , , , , and . Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342X. SPIE, (2017)Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features., , , , , , , and . Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341I. SPIE, (2017)A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography., , , , , , , and . Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Malignant microcalcification clusters detection using unsupervised deep autoencoders., , , , , , , , and . Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502Q. SPIE, (2019)