تشخیص سلول های سرطانی در جریان خون، به عنوان یک نشان گر زیستی ارزشمند کم تهاجمی انقلابی در مدیریت سرطان ایجاد کرده است. این مقاله به مرور جامع کاربردهای هوش مصنوعی شامل یادگیری ماشین و یادگیری عمیق در شناسایی و شمارش خودکار سلول های سرطانی در جریان خون از نمونه های خونی واقعی می پردازد. با بررسی سیستماتیک مطالعات پیشین، مزایا مانند سرعت و دقت بالا و معایب مانند وابستگی شدید به حجم و کیفیت داده های آموزشی در هر روش تحلیل شده است. یافته ها نشان می دهند که عملکرد مدل های هوش مصنوعی به طور قابل توجهی به کیفیت تصاویر وابسته است و همچنین فرآیند آموزش آنها اغلب زمان بر می باشد. برای غلبه بر این چالش، راهکارهایی مانند پیش پردازش داده، تکنیک های تقویت مصنوعی داده و استفاده از حلقه های بازخوردی پیشنهاد می شوند. با وجود نتایج امیدوار کننده ای که از پژوهش های انجام شده پیشین بدست آمده است برای کاربردی کردن این روش در محیط های بالینی واقعی، نیاز مبرمی به توسعه الگوریتم های عمومی تر، قوی تر و کمتر وابسته به داده های حجیم به عنوان نیاز اصلی این حوزه تحقیقاتی باقی است.
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مقدس,هاجر و پاکباز,حمید . (1404). کاربرد هوش مصنوعی در تشخیص سلول سرطانی در جریان خون. مجله مهندسی مکانیک, 34(5), 19-27. doi: 10.30506/mmep.2025.2065660.2249
MLA
مقدس,هاجر , و پاکباز,حمید . "کاربرد هوش مصنوعی در تشخیص سلول سرطانی در جریان خون", مجله مهندسی مکانیک, 34, 5, 1404, 19-27. doi: 10.30506/mmep.2025.2065660.2249
HARVARD
مقدس هاجر, پاکباز حمید. (1404). 'کاربرد هوش مصنوعی در تشخیص سلول سرطانی در جریان خون', مجله مهندسی مکانیک, 34(5), pp. 19-27. doi: 10.30506/mmep.2025.2065660.2249
CHICAGO
هاجر مقدس و حمید پاکباز, "کاربرد هوش مصنوعی در تشخیص سلول سرطانی در جریان خون," مجله مهندسی مکانیک, 34 5 (1404): 19-27, doi: 10.30506/mmep.2025.2065660.2249
VANCOUVER
مقدس هاجر, پاکباز حمید. کاربرد هوش مصنوعی در تشخیص سلول سرطانی در جریان خون. MMEP, 1404; 34(5): 19-27. doi: 10.30506/mmep.2025.2065660.2249
