Zrinka Puharić, Ina Stašević, Darko Ropac, Nina Petričević, Irena Jurišić
[A STUDY INVESTIGATING THE FACTORS OF INTERNET ADDICTION]
Acta medica Croatica : casopis Hravatske akademije medicinskih znanosti
propose computerized framework given region interest roi circumscribing lesion predicts radiological observations related lesion characteristics 832 average prediction accuracy also derives explicit association lowlevel imaging features highlevel semantic terms exploiting statistical correlation direct association semantic concepts lowlevel imaging features leveraged build powerful annotation system radiological images allows computer infer semantics diverse medical images run automatic reasoning making diagnostic decision also provides humaninterpretable explanation system output facilitate better end user understanding computerbased diagnostic decisions core component framework radiological observation detection algorithm maximizes lowlevel imaging feature relevancy highlevel semantic term liver lesion ct dataset implemented framework incorporating large set stateoftheart lowlevel imaging features additionally included novel feature quantifies lesions present within liver similar appearance primary lesion identified radiologist framework achieved high prediction accuracy 832 derived association semantic concepts imaging features closely correlates human expectation framework tested liver lesion ct images capable applied imaging domains