乳房鈣化點偵測方法GS-foveal algorithm

乳房癌是女性最常見的惡性腫瘤之一，早期的診斷發現與治療是非常重要的，這能夠使乳房癌的死亡率大幅的降低。乳房癌初期，乳房x光影像中會出現微小鈣化點，所以早期偵測出乳房鈣化群集對於乳房癌診斷是重要的。因此本論文提出一乳房鈣化點偵測方法GS-foveal algorithm(Golden Search foveal algorithm)，以輔助醫生對於乳房鈣化點之診斷。實驗結果證明本論文所提之乳房鈣化點偵測方法相較於相關方法有更好的準確度。

Breast cancer is one of the most common malignant tumors for the women, the main way to decrease mortality caused by breast cancer is the inchoate diagnosis and treatment. It has been shown to be very effective in the reduction of breast cancer mortality rates. The appearance of microcalcifications in mammograms is one of the early signs of breast cancer. So, early detection of microcalcification clusters in mammograms can be helpful for cancer diagnosis and better treatment of breast cancer. Therefore, we presents a method (golden search foveal algorithm) to detect breast calcifications, to assist physicians for the diagnosis of breast calcifications. The results also proved that the proposed method of this paper is effective and desirable.