Invasive Ductal Carcinoma Classification Using ResNet18 Model on Transfer Learning Concepts
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
2. University Institute of Engineering and Technology, Panjab University,Department of Electrical and Electronics Engineering,Chandigarh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205577.pdf?arnumber=10205577
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1. A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants
2. Lack of Standardization in the Diagnosis of Invasive Lobular Carcinoma of the Breast
3. Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification
4. The role of ki67 as assessed by core biopsy in the preoperative classification of breast cancer according to the prognostic factors
5. Outcomes and imaging features of microinvasive carcinoma and ductal carcinoma in situ: Matched cohort study
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