हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।
ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं
Qi Wan Yang
Artificial Intelligence in the Screening and Diagnosis of Cervical Cancer . The Abstract Cervical cancer is still the most common cancer that kills women, posing a serious threat to their mental and physical health. It is an effectively preventable disease with early screening and determination. Even though advances in technology have significantly improved the early detection of cervical cancer, accurate diagnosis is still challenging due to a number of factors. Applications of medical diagnostics based on artificial intelligence (AI) have increased in recent years and are highly applicable to the screening and diagnosis of cervical cancer. They save time, require less professional and technical staff, and are free of bias caused by subjective factors, among other advantages. We, hence, expected to examine how man-made intelligence can be utilized in cervical disease screening and finding, especially to work on the exactness of early conclusion.