A method of acquiring a medical image of an X-ray apparatus performed by one or more computers, the method comprising: acquiring an original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) of an object and capturing condition information (540, 640, 740) of the object, wherein the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) indicates an entire radiation image based on radiation incident on an X-ray detector; acquiring a scatter radiation image (511, 560, 711, 760, 911, 1060) related to the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) by inputting the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the capturing condition information (540, 640, 740) to a learning network model (530, 630, 730) configured to estimate scatter radiation, wherein the scatter radiation image (511, 560, 711, 760, 911, 1060) indicates an image estimated through a scatter estimation process; and outputting a scatter radiation-processed medical image (580, 660, 780, 1080) from the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) based on the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the scatter radiation image (511, 560, 711, 760, 911, 1060), the scatter radiation-processed medical image (580, 660, 780, 1080) having less scatter radiation information than the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5), wherein the learning network model (530, 630, 730) configured to estimate scatter radiation comprises a learning network model (530, 630, 730) taught based on learning data (510,710,910,1010), said learning data comprising a plurality of scatter radiation images (511, 560, 711, 760, 911, 1060), a plurality of pieces of capturing condition information (540, 640, 740) related to a plurality of scatter radiation images (511, 560, 711, 760, 911, 1060) and a characteristic of a region (512, 612, 712) of the object, wherein original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and a degree of intensity of scatter radiation included in each of scatter radiation-processed medical images (580, 660, 780, 1080) acquired from the original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) are provided as a part of the learning data. acquiring an original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) of an object and capturing condition information (540, 640, 740) of the object, wherein the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) indicates an entire radiation image based on radiation incident on an X-ray detector; acquiring a scatter radiation image (511, 560, 711, 760, 911, 1060) related to the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) by inputting the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the capturing condition information (540, 640, 740) to a learning network model (530, 630, 730) configured to estimate scatter radiation, wherein the scatter radiation image (511, 560, 711, 760, 911, 1060) indicates an image estimated through a scatter estimation process; and outputting a scatter radiation-processed medical image (580, 660, 780, 1080) from the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) based on the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and the scatter radiation image (511, 560, 711, 760, 911, 1060), the scatter radiation-processed medical image (580, 660, 780, 1080) having less scatter radiation information than the original radiation image (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5), wherein the learning network model (530, 630, 730) configured to estimate scatter radiation comprises a learning network model (530, 630, 730) taught based on learning data (510,710,910,1010), said learning data comprising a plurality of scatter radiation images (511, 560, 711, 760, 911, 1060), a plurality of pieces of capturing condition information (540, 640, 740) related to a plurality of scatter radiation images (511, 560, 711, 760, 911, 1060) and a characteristic of a region (512, 612, 712) of the object, wherein original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) and a degree of intensity of scatter radiation included in each of scatter radiation-processed medical images (580, 660, 780, 1080) acquired from the original radiation images (411, 611, 541, 641, 741, 941, 1041, 1201, 1321-5) are provided as a part of the learning data.