3 papers · 1 filter
ReCasNet: Improving consistency within the two-stage mitosis detection framework
Chawan Piansaddhayanon, Sakun Santisukwongchote, Shanop Shuangshoti +3
Mitotic count (MC) is an important histological parameter for cancer diagnosis and grading, but the manual process for obtaining MC from whole-slide histopathological images is ver…
High resolution weakly supervised localization architectures for medical images
Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul +1
In medical imaging, Class-Activation Map (CAM) serves as the main explainability tool by pointing to the region of interest. Since the localization accuracy from CAM is constrained…
Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
Itthi Chatnuntawech, Kittipong Tantisantisom, Paisan Khanchaitit +3
Rice has been one of the staple foods that contribute significantly to human food supplies. Numerous rice varieties have been cultivated, imported, and exported worldwide. Differen…