A cross sectional study

By I-Wen Lin, Yi-Hsuan Lee. 2019

Citations in the corpus

• A case-based interpretable deep learning model for classification of mass lesions in digital mammography (2021, neutral): “If this reasoning process were correct, it would lead to a higher chance that: (1) the model could generalize beyond its finite training set; (2) the model’s reasoning process could be useful information for doctors, even if its prediction is sometimes incorrect; (3) it would be much easier to troub”