43 citations · 58 across the 4 of their papers we have counts for
4 papers
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul +13
Patch classification models based on deep learning have been utilized in whole-slide images (WSI) of H&E-stained tissue samples to assist pathologists in grading follicular lymphom…
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity
Payongkit Lakhan, Nannapas Banluesombatkul, Natchaya Sricom +6
Brain biometrics based on electroencephalography (EEG) have been used increasingly for personal identification. Traditional machine learning techniques as well as modern day deep l…
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai +5
While there have been increased researches using deep learning techniques for the extraction of vascular structure from the 2D en face OCTA, for such approach, it is known that the…
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai +2
In the past few years, there are several researches on Parkinson's disease (PD) recognition using single-photon emission computed tomography (SPECT) images with deep learning (DL)…