Pinned Repositories
AdverIN
AdverIN Monotonic Adversarial Intensity Attack for Domain Generalization in Medical Image Segmentation
CirrMRI600-
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
DiffBoost
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
GazeGNN
GazeSAM
LinTransUNet
medical_iba
PaNSegNet
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
Peri-Pancreatic-Edema-Detection
r2r_proto
Machine and Hybrid Intelligence Lab's Repositories
NUBagciLab/PaNSegNet
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
NUBagciLab/r2r_proto
NUBagciLab/CirrMRI600-
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
NUBagciLab/DiffBoost
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
NUBagciLab/Peri-Pancreatic-Edema-Detection
NUBagciLab/AdverIN
AdverIN Monotonic Adversarial Intensity Attack for Domain Generalization in Medical Image Segmentation
NUBagciLab/GazeGNN
NUBagciLab/GazeSAM
NUBagciLab/LinTransUNet
NUBagciLab/Lung
NUBagciLab/medical_iba
NUBagciLab/ipmn_radiomics
NUBagciLab/Therapeutic-Hypothermia-Outcome-Classification
This repository includes an optimized XGBoost Classifier and necessary files to build the webpage for a usable interface. The interface, utilizing the trained model, takes input of a neonate's gestation age, postnatal age, creatinine, and birth weight, and produces one of five predicted outcomes/suggestions of the treatment for the patient.