Shubham Innani

@qubvel I have model for deeplab so I can send it to you for implementation. Consider adding it

For last one or two blocks only if down sampling factor of 16 is needed then it is used. It uses Encoder - Decoder module

Hi, Where can I send it to you. Can you give me your email? thanks

This is resolved for me by installing pysurvival again with pip. Also version conflict with python was resolved. Python=3.6.7 pyarrow >=1.12

use previous version dataset with tensorflow 1.13 and keras 2.24 this error will not occur

use tf.compat.v1.train.NewCheckpointReader and it works @ZhonghuaTian

Thanks for update. Will check and revert with you!

Hi @Richarizardd , I am pretty much new to Pathology, if you can help to update the code, it will be really helpful. Thanks!

Hi @Richarizardd I was not able to understand whats needs to be changed here. ``` class GraphNet(torch.nn.Module): def __init__(self, features=1036, nhid=128, grph_dim=32, nonlinearity=torch.tanh, dropout_rate=0.25, GNN='GCN', use_edges=0, pooling_ratio=0.20, act=None, label_dim=1, init_max=True):...

This is version dependencies of PyG. I was not able to look into this further. Thanks!