caumente/multi_task_breast_cancer
Multi-task framework for breast cancer segmentation and classification
This framework helps radiologists and sonographers more accurately identify and classify breast lesions in ultrasound images. By analyzing an ultrasound image, it simultaneously outlines suspicious areas (segmentation) and determines if the lesion is normal, benign, or malignant (classification). It is designed for medical professionals working with breast ultrasound diagnostics.
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Use this if you need a reliable system to both segment and classify breast lesions from ultrasound images, aiming for reduced bias and improved accuracy over single-task methods.
Not ideal if you are working with non-ultrasound imaging modalities or need a general-purpose image analysis tool not specific to breast cancer diagnostics.
Stars
8
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 30, 2025
Commits (30d)
0
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