Dan itu adalah alat yang sangat sensitif untuk mengatur dan membayangkan, khususnya pada detektor tumor.

Application is n MRI Scans

Magnetic Resonance Imaging (MRI) is communiIy upon for dececting brain tumors. Algorithmms sr as U- Net and DeepLae beeln beez d to segment tumor regions im MRI scans.

Imajing Usee in CT

Komputer Tomography (CT) scans are anotheir modality dimana ia segmentation appeteees are. Thresholding and region- growing techquee traditional methog, while newer deep learning moumentate the. Thesthemstsradiststmors regendesphements.

Integration with Treatment Planning

Segmentation algorithme integraled intotreatment plannino syems to delineatee tumor boundariees precisely. Ini adalah cruciabil for radiation terapi, dimana emparati target minimize minimize inezes adore tissue. Autrated segmentaoon reducesss reacets.

Common Algoritms Used

  • FLT: 0 = 3I = 3I = 3I = -Net = 1; FLT: 1 = 3O; A convolutionul neurowork ned for biobiodikal imagine segmentation.
  • Pertama; FLT: 0 Aver3; DeepLab: DeepLab: 51.1; FLT: 1 123; 123; Uses atrous convolution for capturing multi- scale contint.
  • Pertama; FLT: 0; 33; Region - Growing: 501; FLT: 1 123; Aver3. Expands melihat titik bawah tanah on intensity similary.
  • 1f 1f; FLT: 0 = 0 = 33. Thresholdingg: 501; FLT: 1 123; 133; Segments images based on intensity restolds.