Roland-Tian
Pathology Resident at Baylor Scott & White. Former Pathology Research Fellow at Mayo Clinic in Digital Pathology & AI.
Baylor Scott & White HealthTemple, TX
Pinned Repositories
Medical-From-Scratch-SE-ResNeXt-50-vs-101-Skin-Lesion-Classifier-Melanoma-Nevus-Seborrheic-Keratosis
SE-ResNeXt 50 vs 101 layer skin lesion classifier without pretraining, for melanoma vs nevus vs seborrheic keratosis
Medical-Skin-Lesion-Classifiers-Melanoma-Nevus-Seborrheic-Keratosis-Comparing-CNN-Architectures
Skin lesion classifiers for melanoma vs nevus vs seborrheic keratosis, comparing Squeeze & Excitation, SE-ResNeXt, Inception-ResNetV2 and Neural Architecture Search convolutional neural networks
NonMedical-cloud-movie-review-sentiment-LSTM-on-Amazon-SageMaker
Movie review sentiment LSTM RNN on Amazon SageMaker cloud
NonMedical-NasNet-SENet-SEResNext-MobileNet-VGG-CNN-Dog-Breed-Classifiers
NasNet, SENet, SEResNext, MobileNet, and VGG CNN dog breed classified with transfer learning in PyTorch. 89% accuracy predicting from 133 dog breed classes after 20 epochs.
Roland-Tian's Repositories
Roland-Tian/NonMedical-NasNet-SENet-SEResNext-MobileNet-VGG-CNN-Dog-Breed-Classifiers
NasNet, SENet, SEResNext, MobileNet, and VGG CNN dog breed classified with transfer learning in PyTorch. 89% accuracy predicting from 133 dog breed classes after 20 epochs.
Roland-Tian/Medical-Skin-Lesion-Classifiers-Melanoma-Nevus-Seborrheic-Keratosis-Comparing-CNN-Architectures
Skin lesion classifiers for melanoma vs nevus vs seborrheic keratosis, comparing Squeeze & Excitation, SE-ResNeXt, Inception-ResNetV2 and Neural Architecture Search convolutional neural networks
Roland-Tian/Medical-From-Scratch-SE-ResNeXt-50-vs-101-Skin-Lesion-Classifier-Melanoma-Nevus-Seborrheic-Keratosis
SE-ResNeXt 50 vs 101 layer skin lesion classifier without pretraining, for melanoma vs nevus vs seborrheic keratosis
Roland-Tian/NonMedical-cloud-movie-review-sentiment-LSTM-on-Amazon-SageMaker
Movie review sentiment LSTM RNN on Amazon SageMaker cloud