331 citations · 333 across the 3 of their papers we have counts for
3 papers
Bright 4B: Scaling Hyperspherical Learning for Segmentation in 3D Brightfield Microscopy
Amil Khan, Matheus Palhares Viana, Suraj Mishra +1
Label-free 3D brightfield microscopy offers a fast and noninvasive way to visualize cellular morphology, yet robust volumetric segmentation still typically depends on fluorescence…
An argument in favor of strong scaling for deep neural networks with small datasets
Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana +1
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing their models in order to train faster. This is cruci…
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…