{'fraction_non_alphanumeric': 0.018805309734513276, 'fraction_numerical': 0.0011061946902654867, 'mean_word_length': 5.703703703703703, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Computer-aided diagnosis systems for detecting intracranial aneurysms using 3D angiographic data sets: Review

Brain aneurysm or intracranial aneurysm is an abnormal dilatation of the cerebral arteries. Detecting unruptured aneurysm remains a challenging task. Indeed, it is complicated and time-consuming for neuroradiologists to detect intracranial aneurysm due to complexity of cerebral vascular anatomy. To solve this problem, computer-aided diagnosis (CAD) approach has become a main tool to assist neuroradiologistsW to interpret unclear findings of aspects mimicking aneurysms. In this paper, we review the state of the art on CAD systems for detecting intracranial aneurysm with an emphasis on highlighting advantages. Hence, various approaches were used in this field. A discussion and conclusion on future possibilities of CAD methodologies for detecting intracranial aneurysm will be produced.