TY  - GEN 
AU  - Schmidt, Arne
AU  - Molina Soriano, Rafael
PY  - 2022
UR  - http://hdl.handle.net/10481/76735
AB  - The annotation of large datasets is often the bottleneck in the successful application of artificial intelligence in computational pathology. For this reason recently Multiple Instance Learning (MIL) and Semi Supervised Learning (SSL) approaches are...
LA  - eng
PB  - IEEE
TI  - Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning
DO  - 10.1109/ACCESS.2022.3143345
ER  -