microsoft/InnerEye-DeepLearning

Patch visualization: Highlight that areas that are never sampled

Open

Aperta il 28 ott 2020

Vedi su GitHub
 (0 commenti) (0 reazioni) (0 assegnatari)Python (519 star) (138 fork)batch import
good first issuenot urgentreporting and diagnostics

Descrizione

From the present thumbnails, it is not clear which pixels will never be included in training. Can we highlight those in a different color?

AB#3939

Guida contributor

Tech stack
python
Dominio
machine learningdata
Tipo issue
feature
DifficoltàQuanto dovrebbe essere impegnativa per un nuovo contributor.
3
Tempo stimatoTempo stimato per completare e verificare uno scope piccolo.
half day
Stato attivitàQuanto è probabile che la issue sia ancora attiva e reviewable.
fresh
ChiarezzaQuanto chiaramente la issue descrive problema, scope e risultato atteso.
mostly clear
Prerequisiti
Understanding of patch sampling in medical imagingFamiliarity with visualization code in the repository
Adatta ai principiantiQuanto la issue è adatta a contributor alla prima esperienza.
60
Direzione di ricerca
Examine the existing thumbnail generation code in the repository (likely in the visualization module) to understand how patches are currently displayed. Identify the logic that determines which pixels are sampled for training. Modify the visualization to color unsampled pixels differently, e.g., by adding a semi transparent overlay. Review any related documentation or comments about sampling strategies to ensure accuracy.