hat
PhD sa a vize yo devlope otomatik lojisyèl ki kapab lokalize estrikti yo vizib sou radyografi nan jenou an, an patikilye tèt yo nan femoral la ak tibya a, ansanm ak analize tou de fòm nan ak aparans nan zo yo pou chèche pou korlasyon ki gen maladi ak pwogresyon maladi. Pwojè a pral pwofite pran avantaj nan eta-of-atizay la-algoritm pou modèl ak matche zo devlope nan gwoup la. Li pral konsantre sou analize imaj ki soti nan gwo ansanbl ki egziste deja, yo chak ki gen imaj de milye de pasyan swa ak OA oswa nan risk pou yo devlope OA. San yo pa sistèm yo otomatik yo dwe devlope li ta Inposibl pran anpil avantaj de ansanbl sa yo, menm jan yo gen ladan yo plis pase 20,000 imaj endividyèl elèv yo.
eng
This PhD aims to develop automatic software capable of locating the structures visible on radiographs of the knee, in particular the heads of the femur and tibia, and to analyse both the shape and appearance of the bones to look for correlations with disease and disease progression. The project will take advantage of state-of-the-art algorithms for modelling and matching bones developed within the group. It will focus on analysing images from large existing datasets, each containing images of thousands of patients either with OA or at risk of developing OA. Without the automatic systems to be developed it would be impractical to take full advantage of these datasets, as they include over 20,000 individual images.