Multiclass classification

This project uses 5 pretrained models and analyzing the results.The dataset contains 5000 images with 625 images for each class.

Literature source: https://www.nature.com/articles/srep27988

Dataset:

Dataset : https://www.kaggle.com/kmader/colorectal-histology-mnist

All the images are 150x150px in RGB mode.

Histological H&E images of human colorectal cancer,8 classes of tissue types:

• TUMOR -- Tumour epithelium

• STROMA -- Simple stroma (homogeneous composition, includes tumour stroma, extra-tumoural stroma and smooth muscle)

• COMPLEX -- Complex stroma (containing single tumour cells and/or few immune cells)

• LYMPHO -- Immune cells (including immune-cell conglomerates and sub-mucosal lymphoid follicles)

• DEBRIS -- Debris (including necrosis, hemorrhage and mucus)

• MUCOSA -- Normal mucosal glands

• ADIPOSE -- Adipose tissue

• EMPTY -- Background (no tissue)