Guide-yakabatana mibvunzo · Pakati Nhanho

AI muPathology Quiz

Review digital pathology images, tile-based processing, weak slide labels and specific AI-assisted diagnostic tasks and their limits.

Nzira dzekutungamira dzinoenderanaAI Mune Pathology
Mubvunzo 1 ye 8

Chii chinonzi 'whole-slide image' mune digital pathology?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinonzi 'whole-slide image' mune digital pathology?
    • Gigapixel digital scan yetishu yese inotsvedza
    • Sero rimwe chete rakatorwa mufananidzo nefoni
    • X-ray yechipfuva chemurwere
    • Mushumo wakanyorwa nemaoko
  2. Nei maAI modhi ichiita masiraidhi mumataira madiki kana zvigamba?
    • Nokuti ruvara haruna kukosha muzvirwere
    • Nekuti iyo yakazara gigapixel mufananidzo wakakura kwazvo kuti udyiwe mukati kamwechete
    • Nekuti matishu anogara akaenzana
    • Kuita kuti chifananidzo chive chitema uye chichena
  3. Kudzidza-zviitiko zvakawanda kunobatsira kana:
    • Iko hakuna mavara zvachose uye hapana chinangwa
    • Iyo modhi inoda kushandura mavara
    • Chete siraidhi-level label inozivikanwa, kwete chaiyo bundu nzvimbo
    • Siraidhi mufananidzo wakajairika
  4. Ndeipi nzira yekudzora yakashandiswa neFDA yePaige Prostate?
    • It issued a blanket approval for all pathology AI
    • It granted a drug marketing authorization
    • It declared that pathologists are no longer needed
    • It granted a De Novo classification for the specific device and intended use
  5. Chii chinonzi AI Ki-67 kuverenga mubundu?
    • Nekukurumidza sei masero ebundu ari kuwedzera
    • Kuwedzerwa kweropa remurwere
    • Kukura kwechipatara
    • Ukobvu hwemasiraidhi mumamirimita
  6. Chii chinogona kupa AI sisitimu mukufamba kwepathology, maererano neyakaomeswa mienzaniso?
    • A definitive cancer diagnosis without a pathologist
    • A decision-support output that a pathologist reviews in context
    • An automatic treatment prescription
    • A replacement for tissue sampling
  7. What is a key idea in CLAM for whole-slide classification?
    • Every patch must have a manually annotated pixel mask
    • The model analyzes only patient age
    • Attention-based multiple-instance learning can identify informative image patches from slide-level labels
    • It replaces the slide image with a text report
  8. What did Paige Prostate receive De Novo authorization to assist pathologists with?
    • Automatically selecting cancer treatment
    • Replacing biopsies with blood tests
    • Diagnosing every cancer type from MRI
    • Identifying suspicious regions on digitized prostate biopsy slides