Hi, first of all thanks for your work!
I am new with this type of data and is difficult for me. I have used https://github.com/wisepaip/paip2020/blob/master/xml2mask.py to take the masks on this year challenge and generated masks said that have for example 3 regions (https://github.com/wisepaip/paip2020/blob/master/xml2mask.py#L46). Using your library and examples for read WSI, as wsi_head.read_region((0, 0), DISPLAY_LEVEL, wsi_head.level_dimensions[DISPLAY_LEVEL]) I can load de wsi at desired level but I dont know what means 0,0 region... When I train my network I should use 0,0 region or? I load the mask as provided https://github.com/paip-2019/challenge/blob/master/utils.py#L9 but I no see nothing related to regions...
Best regards
Hi, first of all thanks for your work!
I am new with this type of data and is difficult for me. I have used https://github.com/wisepaip/paip2020/blob/master/xml2mask.py to take the masks on this year challenge and generated masks said that have for example 3 regions (https://github.com/wisepaip/paip2020/blob/master/xml2mask.py#L46). Using your library and examples for read WSI, as wsi_head.read_region((0, 0), DISPLAY_LEVEL, wsi_head.level_dimensions[DISPLAY_LEVEL]) I can load de wsi at desired level but I dont know what means 0,0 region... When I train my network I should use 0,0 region or? I load the mask as provided https://github.com/paip-2019/challenge/blob/master/utils.py#L9 but I no see nothing related to regions...
Best regards